Abstract: This failure sign determination device (1) comprises an acquisition unit (11) that acquires sensor data based on measurement values of a plurality of sensors, an FFT processing unit (12) that performs a process of high-speed Fourier transformation on the sensor data to generate frequency spectrum data, and a determination unit (13) that determines whether there is a failure sign on the basis of a comparison between the frequency spectrum data and a spectrum range established for the sensors. The determination unit (13) transmits the frequency spectrum data and/or the sensor data to an analysis device (62) only when there is determined to be a failure sign.
FORM 2
THE PATENTS ACT, 1970
(39 of 1970)
&
THE PATENTS RULES, 2003
COMPLETE SPECIFICATION
[See section 10, Rule 13]
FAILURE SIGN DETERMINATION DEVICE, ONBOARD DEVICE, AND
FAILURE SIGN DETERMINATION METHOD;
MITSUBISHI ELECTRIC CORPORATION, A CORPORATION ORGANISED AND
EXISTING UNDER THE LAWS OF JAPAN, WHOSE ADDRESS IS 7-3,
MARUNOUCHI 2-CHOME, CHIYODA-KU, TOKYO 1008310, JAPAN
THE FOLLOWING SPECIFICATION PARTICULARLY DESCRIBES THE
INVENTION AND THE MANNER IN WHICH IT IS TO BE PERFORMED
2
DESCRIPTION
Technical Field
[0001] The present disclosure relates to a failure sign determining device, an
5 in-vehicle apparatus, and a method of determining a failure sign.
Background Art
[0002] A typical example of in-vehicle apparatuses, which are apparatuses installed
in vehicles, is an electric vehicle control device to convert electric power fed from an
overhead wire and feed the converted electric power to a motor. In order to improve the
10 safety of such an electric vehicle control device, the existence of a failure in a component,
such as capacitor, resistor element, or reactor, of the electric vehicle control device is
required to be accurately detected. For example, in the case of occurrence of a
short-circuit fault in the capacitor, the failure can be detected because of an excessively
high value measured by a current sensor. The value measured by the current sensor,
15 however, cannot contribute to detection of a failure sign, such as a decrease in the
capacity of the capacitor. The electric vehicle control device disclosed in Patent
Literature 1 differentiates the current signal generated by a current sensor and executes
fast Fourier transform on the signal resulting from the differentiation, and thereby obtains
a frequency component of the signal resulting from the differentiation of the current
20 signal. When the peak value of the amplitude level of the calculated frequency
component exceeds a threshold, the electric vehicle control device deems that a decrease
occurs in the capacity of the capacitor.
Citation List
Patent Literature
25 [0003] Patent Literature 1: Unexamined Japanese Patent Application Publication
No. 2010-252443
Summary of Invention
3
Technical Problem
[0004] The frequency analysis based on the data obtained through fast Fourier
transform on values measured by a sensor can achieve detection of a failure sign, which
cannot be directly detected from the values measured by the sensor. Unfortunately, the
5 frequency analysis involves sampling of values measured by the sensor at a sampling
frequency of several hundreds of kilohertz to several megahertz, resulting in generation
of a large volume of data from the values measured by the sensor. The frequency
analysis preferably refers to values measured by multiple sensors for more accurate
determination of the existence of a failure sign, but an increase in the number of sensors
10 further expands the volume of data generated for the frequency analysis.
[0005] In the case where more detailed frequency analysis is executed by an
analysis apparatus installed in the vehicle or outside the vehicle, the control device
executes fast Fourier transform and transmits the large volume of data to the analysis
apparatus, so that a network in the vehicle suffers from increased communication loads.
15 [0006] An objective of the present disclosure, which has been accomplished in
view of the above situations, is to improve the accuracy of determination of the existence
of a failure sign while suppressing an increase in communication loads.
Solution to Problem
[0007] In order to achieve the above objective, a failure sign determining device
20 according to an aspect of the present disclosure determines existence of a failure sign in a
component of an apparatus installed in a vehicle. The failure sign determining device
includes an acquirer, an FFT processor, and a determiner. The acquirer acquires pieces
of sensor data on multiple sensors installed in the vehicle for measuring mutually
different physical quantities. The pieces of sensor data are pieces of digital data based
25 on respective values measured by the sensors. The FFT processor executes fast Fourier
transform on each of the pieces of sensor data acquired by the acquirer and thereby
generates a piece of frequency spectrum data indicating a spectrum intensity at each
4
frequency. The determiner determines the existence of a failure sign on the basis of
comparison between the piece of frequency spectrum data and a spectrum range defined
for the sensor corresponding to the piece of sensor data used in the generation of the piece
of frequency spectrum data. The determiner, only when determining that a failure sign
5 exists, transmits at least either of the piece of frequency spectrum data applied to the
determination of the existence of a failure sign and the piece of sensor data used in the
generation of the piece of frequency spectrum data applied to the determination of the
existence of a failure sign to an analysis apparatus installed in the vehicle or outside the
vehicle.
10 Advantageous Effects of Invention
[0008] The failure sign determining device according to an aspect of the present
disclosure determines the existence of a failure sign on the basis of the pieces of
frequency spectrum data generated from the sensor data based on the respective values
measured by the sensors. In addition, the failure sign determining device, only when
15 determining that a failure sign exists, transmits at least either of the piece of frequency
spectrum data and the piece of sensor data to the analysis apparatus. This configuration
can improve the accuracy of determination of the existence of a failure sign while
suppressing an increase in communication loads.
Brief Description of Drawings
20 [0009] FIG. 1 is a block diagram illustrating a configuration of a power conversion
apparatus according to Embodiment 1;
FIG. 2 is a block diagram illustrating a configuration of a failure sign determining
device according to Embodiment 1;
FIG. 3 illustrates an exemplary manner of implementation of the failure sign
25 determining device according to Embodiment 1;
FIG. 4 illustrates exemplary spectrum ranges according to Embodiment 1;
FIG. 5 illustrates an example of frequency spectrum data in the case of no failure
5
sign in the power conversion apparatus according to Embodiment 1;
FIG. 6 illustrates an example of frequency spectrum data in the case of any failure
sign in the power conversion apparatus according to Embodiment 1;
FIG. 7 illustrates another example of frequency spectrum data in the case of no
5 failure sign in the power conversion apparatus according to Embodiment 1;
FIG. 8 illustrates another example of frequency spectrum data in the case of any
failure sign in the power conversion apparatus according to Embodiment 1;
FIG. 9 is a flowchart illustrating exemplary steps of a failure sign determining
process executed by the failure sign determining device according to Embodiment 1;
10 FIG. 10 illustrates exemplary spectrum ranges according to Embodiment 2;
FIG. 11 illustrates an exemplary manner of implementation of a failure sign
determining device according to Embodiment 3;
FIG. 12 illustrates an example of frequency spectrum data in the case of no failure
sign in a power conversion apparatus according to Embodiment 3;
15 FIG. 13 illustrates an example of frequency spectrum data in the case of any failure
sign in the power conversion apparatus according to Embodiment 3;
FIG. 14 is a block diagram illustrating a configuration of a power conversion
apparatus according to Embodiment 4;
FIG. 15 is a block diagram illustrating a configuration of a failure sign determining
20 device according to Embodiment 4;
FIG. 16 illustrates an exemplary manner of implementation of the failure sign
determining device according to Embodiment 4;
FIG. 17 illustrates an exemplary value measured by a vibration sensor according to
Embodiment 4;
25 FIG. 18 illustrates an example of envelope data according to Embodiment 4;
FIG. 19 illustrates an example of frequency spectrum data in the case of no failure
sign in the power conversion apparatus according to Embodiment 4;
6
FIG. 20 illustrates an example of frequency spectrum data in the case of any failure
sign in the power conversion apparatus according to Embodiment 4;
FIG. 21 is a flowchart illustrating exemplary steps of a failure sign determining
process executed by the failure sign determining device according to Embodiment 4; and
5 FIG. 22 is a block diagram illustrating a configuration of a modification of the
power conversion apparatus according to the embodiments.
Description of Embodiments
[0010] A failure sign determining device, an in-vehicle apparatus, and a method of
determining a failure sign according to some embodiments are described in detail below
10 with reference to the accompanying drawings. In the drawings, the components
identical or corresponding to each other are provided with the same reference symbol.
[0011] Embodiment 1
The description of Embodiment 1 is directed to a failure sign determining device 1
to determine the existence of a failure sign in a component of an apparatus installed in a
15 vehicle. The failure sign in the component of the apparatus indicates a variation in
properties of the component of the apparatus that appears in advance of occurrence of a
failure in the component of the apparatus.
[0012] The description of Embodiment 1 is directed to determination of the
existence of a failure sign executed by the failure sign determining device 1, focusing on
20 an example in which the apparatus installed in the vehicle is a power conversion
apparatus 93 installed in an electric railway vehicle illustrated in FIG. 1. The failure
sign determining device 1 determines the existence of a failure sign in a component of the
power conversion apparatus 93, specifically, a variation in the electrical properties of the
component.
25 [0013] As illustrated in FIG. 1, a current collector 92 acquires electric power from a
substation via an overhead wire 91 and feeds the electric power to the power conversion
apparatus 93. The current collector 92 corresponds to a power source of the power
7
conversion apparatus 93. A typical example of the current collector 92 is a pantograph.
The power conversion apparatus 93 converts DC power fed from the current collector 92
into three-phase AC power and feeds the three-phase AC power to a motor 96. The
motor 96, when receiving electric power from the power conversion apparatus 93,
5 generates a force to drive the electric railway vehicle. The motor 96 is a three-phase
induction motor, for example.
[0014] The power conversion apparatus 93 includes a power converter 94 to
convert electric power fed from the current collector 92 into electric power to be fed to
the motor 96, a contactor MC1 to electrically connect the power converter 94 to the
10 current collector 92 or electrically disconnect the power converter 94 from the current
collector 92, a filter capacitor FC1 connected between the primary terminals of the power
converter 94, a filter reactor FL1 to configure a filter to attenuate harmonic components
together with the filter capacitor FC1, and a switching controller 95 to control switching
elements included in the power converter 94.
15 [0015] In order to determine the existence of a failure sign in the above-mentioned
component, the power conversion apparatus 93 includes the failure sign determining
device 1. The failure sign determining device 1 determines the existence of a failure
sign, on the basis of pieces of frequency spectrum data generated from the sensor data
based on the respective values measured by multiple sensors for measuring mutually
20 different physical quantities. The physical quantities each indicate a variable of the
physical formula representing the electrical properties of a component of the apparatus, or
a variable of the physical formula representing a movement of the vehicle, for example.
Specifically, the physical quantities each indicate a voltage, current, acceleration, or
amount of vibration, for example.
25 [0016] As the multiple sensors, the power conversion apparatus 93 includes
electrical sensors to measure electrical physical quantities. In detail, the power
conversion apparatus 93 includes a first voltage sensor V1 provided in parallel to the
8
filter capacitor FC1, and first current sensors A1, A2, and A3 provided to the respective
lines connecting the U-phase, V-phase, and W-phase terminals of the power converter 94
to the motor 96. The power conversion apparatus 93 further includes an AD converter
61 to generate pieces of sensor data on the individual sensors through analog to digital
5 (AD) conversion of the respective values measured by the first voltage sensor V1 and the
first current sensors A1, A2, and A3 into pieces of digital data, and outputs the pieces of
generated sensor data to the failure sign determining device 1.
[0017] The individual components of the power conversion apparatus 93 are
described in detail below.
10 The power converter 94 includes switching elements, such as insulated gate
bipolar transistors (IGBTs). The switching elements are controlled by the switching
controller 95, so that the power converter 94 converts DC power fed from the current
collector 92 via the filter capacitor FC1 into three-phase AC power and feeds the
three-phase AC power to the motor 96.
15 [0018] The contactor MC1 is a DC electromagnetic contactor. The contactor
MC1 has one end connected to the current collector 92, and the other end connected to
one end of the filter reactor FL1. The contactor MC1 is controlled by a contactor
controller, which is not illustrated. When the contactor controller closes the contactor
MC1, the one and the other ends of the contactor MC1 are connected to each other and
20 cause the filter reactor FL1 to be electrically connected to the current collector 92. The
power converter 94 and the filter capacitor FC1 are thus electrically connected to the
current collector 92 and can receive electric power from the current collector 92. In
contrast, when the contactor controller opens the contactor MC1, the one and the other
ends of the contactor MC1 are insulated from each other and cause the filter reactor FL1
25 to be insulated from the current collector 92. The power converter 94 and the filter
capacitor FC1 are thus electrically disconnected from the current collector 92 and can
receive no electric power from the current collector 92.
9
[0019] The filter capacitor FC1 is connected between the primary terminals of the
power converter 94 and charged with electric power fed from the current collector 92.
The one end of the filter reactor FL1 is connected to the other end of the contactor
MC1, and the other end of the filter reactor FL1 is connected to one of the primary
5 terminals of the power converter 94 and one end of the filter capacitor FC1.
The filter capacitor FC1 and the filter reactor FL1 configure an LC filter, which
attenuates the harmonic components generated by switching operations of the switching
elements of the power converter 94, and thus prevents the harmonic components from
reaching the overhead wire 91.
10 [0020] The switching controller 95 controls the switching elements included in the
power converter 94 in accordance with operation instructions provided from a cab, which
is not illustrated. The operation instructions include a power running instruction
indicating an acceleration of the electric railway vehicle and a braking instruction
indicating a deceleration of the electric railway vehicle, for example. The power
15 running instruction and the braking instruction are each a notch instruction, for example.
The switching controller 95 also identifies the operation mode in accordance with the
operation instruction and the speed of the electric railway vehicle acquired from a speed
sensor, which is not illustrated, and executes a pulse width modulation (PWM) control in
accordance with the operation mode. In Embodiment 1, the switching controller 95
20 executes the PWM control over the switching elements of the power converter 94 in
accordance with the operation mode.
[0021] In detail, the switching controller 95 identifies the operation mode,
specifically, the operating frequency of the power converter 94 and the modulation factor
and the carrier wave frequency of the switching control signal for controlling the
25 switching elements of the power converter 94, in accordance with the operation
instruction and the speed of the electric railway vehicle. The switching controller 95
also acquires the respective values measured by the first voltage sensor V1 and the first
10
current sensors A1, A2, and A3, which are described below. The switching controller
95 then executes the PWM control over the switching elements of the power converter 94
such that the power output from the power converter 94 approaches the target value, on
the basis of the operating frequency of the power converter 94 and the modulation factor
5 and the carrier wave frequency of the switching control signal, in view of the respective
values measured by the first voltage sensor V1 and the first current sensors A1, A2, and
A3.
[0022] The first voltage sensor V1 measures a value of voltage input to the power
converter 94, that is, a value of voltage between the terminals of the filter capacitor FC1.
10 The first current sensors A1, A2, and A3 measure values of current output from the
power converter 94. In detail, the first current sensor A1 is provided to the line
connecting the U-phase terminal of the power converter 94 to the motor 96 and measures
a value of U-phase current output from the power converter 94. The first current sensor
A2 is provided to the line connecting the V-phase terminal of the power converter 94 to
15 the motor 96 and measures a value of V-phase current output from the power converter
94. The first current sensor A3 is provided to the line connecting the W-phase terminal
of the power converter 94 to the motor 96 and measures a value of W-phase current
output from the power converter 94.
[0023] The failure sign determining device 1 determines the existence of a failure
20 sign in the above-mentioned component of the power conversion apparatus 93. The
failure sign determining device 1 executes fast Fourier transform (FFT) on a piece of
sensor data based on each of the values measured by the first voltage sensor V1 and the
first current sensors A1, A2, and A3 and thereby generates a piece of frequency spectrum
data, and then determines the existence of a failure sign on the basis of the frequency
25 spectrum data, as is described in detail below. Then, the failure sign determining device
1, only when determining that a failure sign exists, transmits at least either of the
frequency spectrum data applied to the determination of the existence of a failure sign
11
and the sensor data corresponding to the frequency spectrum data to an analysis apparatus
62 installed in the vehicle or outside the vehicle. The analysis apparatus 62 is provided
in aboveground equipment or the cab of the vehicle, for example. The analysis
apparatus 62 executes more detailed analysis on the failure sign than that in the failure
5 sign determining device 1, on the basis of information, such as a history of frequency
spectrum data or sensor data.
[0024] The existence of a failure sign is determined on the basis of pieces of
frequency spectrum data generated from the sensor data based on the respective values
measured by multiple sensors for measuring mutually different physical quantities,
10 specifically, the first voltage sensor V1 and the first current sensors A1, A2, and A3.
This configuration can improve the accuracy of determination of the existence of a failure
sign. In addition, at least either of the frequency spectrum data and the sensor data is
transmitted to the analysis apparatus 62 only when a failure sign is determined to exist.
This configuration can suppress an increase in communication loads.
15 [0025] As illustrated in FIG. 2, the failure sign determining device 1 includes an
acquirer 11 to acquire pieces of sensor data, an FFT processor 12 to execute FFT on a
piece of sensor data and thereby generate a piece of frequency spectrum data, and a
determiner 13 to determine the existence of a failure sign on the basis of comparison
between the frequency spectrum data and the spectrum range defined for the sensor
20 corresponding to the sensor data used in the generation of the frequency spectrum data.
[0026] The components of the failure sign determining device 1 are described in
detail below.
The acquirer 11 acquires, from the AD converter 61, pieces of sensor data on the
respective sensors, specifically, a piece of sensor data based on the value measured by the
25 first voltage sensor V1, a piece of sensor data based on the value measured by the first
current sensor A1, a piece of sensor data based on the value measured by the first current
sensor A2, and a piece of sensor data based on the value measured by the first current
12
sensor A3. The acquirer 11 then selects any of the acquired pieces of sensor data and
then provides the selected piece of sensor data to the FFT processor 12 and the
determiner 13.
[0027] The FFT processor 12 executes FFT on the piece of sensor data acquired
5 from the acquirer and thereby generates a piece of frequency spectrum data indicating a
spectrum intensity at each frequency. The FFT processor 12 then outputs the generated
frequency spectrum data to the determiner 13.
[0028] The determiner 13 determines the existence of a failure sign on the basis of
comparison between the frequency spectrum data and the spectrum range defined for the
10 sensor corresponding to the sensor data used in the generation of the frequency spectrum
data. When the frequency spectrum data exceeds a spectrum range, a failure sign can be
deemed to exist, as is described in detail below. The spectrum range is preferably
defined on the basis of simulations. The determiner 13, only when determining that a
failure sign exists, transmits at least either of the frequency spectrum data applied to the
15 determination of the existence of a failure sign and the sensor data used in the generation
of the frequency spectrum data applied to the determination of the existence of a failure
sign, to the analysis apparatus 62.
[0029] The determiner 13 preferably acquires information on the operation mode
from the switching controller 95, and determines the existence of a failure sign when the
20 operation mode accords with a predetermined operation mode. In detail, the determiner
13 preferably determines the existence of a failure sign, when the operation mode,
specifically, the operating frequency of the power converter 94, the modulation factor,
and the carrier wave frequency accord with a predetermined operating frequency, a
predetermined modulation factor, and a predetermined carrier wave frequency,
25 respectively.
[0030] An exemplary manner of implementation of the failure sign determining
device 1 is described below with reference to FIG. 3. The acquirer 11, the FFT
13
processor 12, and a part of the determiner 13 are implemented on a field programmable
gate array (FPGA) 51.
[0031] The acquirer 11 includes a reception circuit 21 to acquire pieces of sensor
data on the respective sensors from the AD converter 61, and a selector 22 to select any
5 of the pieces of sensor data on the respective sensors received by the reception circuit 21.
The reception circuit 21 is an input/output (I/O) module pursuant to any interface
standard for data acquisition from the AD converter 61.
The selector 22 selects one of the multiple pieces of sensor data acquired by the
reception circuit 21 in the order of acquisition, for example, and then outputs the selected
10 piece of sensor data to the FFT processor 12 and the determiner 13.
[0032] The FFT processor 12 includes an FFT circuit 31 to execute FFT on a piece
of sensor data and thereby generate a piece of frequency spectrum data, and an FFT
controller 32 to control the FFT circuit 31.
The FFT circuit 31 executes FFT on a piece of sensor data acquired from the
15 selector 22 and thereby generates a piece of frequency spectrum data, and then outputs
the frequency spectrum data to a spectrum data storage 44 and a comparator 47 included
in the determiner 13, which are described below. The FFT controller 32 executes
controls of the FFT circuit 31, such as an instruction to initiate or stop the FFT at the FFT
circuit 31 or restriction of the number of repetitions of the FFT.
20 [0033] The determiner 13 includes a central processing unit (CPU) 41 to determine
the existence of a failure sign, a memory 42 to store programs to be executed by the CPU
41, and a communication interface (IF) 43 to achieve communication with the analysis
apparatus 62 and the switching controller 95. The determiner 13 further includes the
spectrum data storage 44 to store the piece of frequency spectrum data generated by the
25 FFT circuit 31, a sensor data storage 45 to store the piece of sensor data selected by the
selector 22, a spectrum range storage 46 to store spectrum ranges defined for the
respective sensors, the comparator 47 to compare the frequency spectrum data with the
14
spectrum range, and a counter 48 to accumulate results output from the comparator 47.
[0034] The spectrum data storage 44, the sensor data storage 45, the spectrum range
storage 46, the comparator 47, and the counter 48 are implemented on the FPGA 51.
The CPU 41, the memory 42, the communication IF 43, the spectrum data storage 44, the
5 sensor data storage 45, the spectrum range storage 46, and the counter 48 are connected
to each other via system buses B1. The selector 22 of the acquirer 11 and the FFT
controller 32 of the FFT processor 12 are also connected to the system buses B1.
[0035] The CPU 41 determines the existence of a failure sign in accordance with
the programs stored in the memory 42. The CPU 41, only when determining that a
10 failure sign exists, transmits at least either of the frequency spectrum data stored in the
spectrum data storage 44 and the sensor data stored in the sensor data storage 45 to the
analysis apparatus 62.
[0036] The communication IF 43 is a communication module pursuant to any
communication standard for achieving communication with the analysis apparatus 62 and
15 the switching controller 95.
[0037] The spectrum data storage 44 stores the piece of frequency spectrum data
generated by the FFT circuit 31. The spectrum data storage 44 is a dual-port memory,
which can be simultaneously accessed by both of the FFT circuit 31 and the CPU 41.
The sensor data storage 45 stores the piece of sensor data acquired by the selector
20 22. The sensor data storage 45 is a dual-port memory, which can be simultaneously
accessed by both of the selector 22 and the CPU 41.
[0038] The spectrum range storage 46 retains spectrum ranges defined for the
respective sensors. In detail, the spectrum range storage 46 retains a spectrum range for
the first voltage sensor V1, a spectrum range for the first current sensor A1, a spectrum
25 range for the first current sensor A2, and a spectrum range for the first current sensor A3.
Specifically, as illustrated in FIG. 4, the spectrum range storage 46 stores addresses
corresponding to frequencies and the upper limits of spectrum ranges at the respective
15
frequencies, for each sensor. The spectrum range storage 46 is a dual-port memory,
which can be simultaneously accessed by both of the comparator 47 and the CPU 41.
[0039] The comparator 47 illustrated in FIG. 3 reads a spectrum range from the
spectrum range storage 46, and then compares the piece of frequency spectrum data
5 generated by the FFT circuit 31 with the spectrum range. In detail, the comparator 47
determines whether the spectrum intensity indicated by the piece of frequency spectrum
data is within the spectrum range for each frequency. Specifically, as illustrated in FIG.
4, the comparator 47 compares the spectrum intensity indicated by the first piece of
frequency spectrum data with the upper limit Th1 of the spectrum range defined for the
10 address 0000h. In this case, the spectrum range has the lower limit of 0 and the upper
limit of Th1. When the spectrum intensity indicated by the frequency spectrum data is
higher than the upper limit Th1 of the spectrum range, in other words, the spectrum
intensity indicated by the frequency spectrum data is not within the spectrum range, then
the comparator 47 outputs a value of 1. In contrast, when the spectrum intensity
15 indicated by the frequency spectrum data is equal to or lower than the upper limit Th1 of
the spectrum range, in other words, the spectrum intensity indicated by the frequency
spectrum data is within the spectrum range, then the comparator 47 outputs a value of 0.
[0040] FIGS. 5 and 6 each illustrate an example of the frequency spectrum data and
the spectrum range. In FIGS. 5 and 6, the horizontal axis indicates the frequency, and
20 the vertical axis indicates the spectrum intensity. In FIGS. 5 and 6, the solid line
represents a piece of frequency spectrum data generated from the sensor data based on
the value measured by the first voltage sensor V1, and the dotted line represents the upper
limit of the spectrum range defined for the first voltage sensor V1. In Embodiment 1,
the spectrum range varies stepwise. The upper limit of the spectrum range at
25 frequencies in the vicinity of 0 Hz is defined to be a sufficiently large value. The
frequencies in the vicinity of 0 Hz indicate a sufficiently narrow frequency range
including a frequency of 0 Hz.
16
[0041] FIG. 5 illustrates an example of the frequency spectrum data in the case of
no failure sign. Because of no failure sign, the spectrum intensity indicated by the
frequency spectrum data is within the spectrum range at all the frequencies in FIG. 5.
[0042] FIG. 6 illustrates an example of the frequency spectrum data in the case of
5 any failure sign. Specifically, FIG. 6 illustrates frequency spectrum data in the case of a
decrease in the electrostatic capacity of the filter capacitor FC1. As emphasized by the
dashed and single-dotted circle in FIG. 6, a decrease in the electrostatic capacity of the
filter capacitor FC1 causes rises in the spectrum intensity indicated by the piece of
frequency spectrum data generated from the sensor data based on the value measured by
10 the first voltage sensor V1, in the vicinities of the frequencies equal to multiples of the
carrier wave frequency. The vicinities of the frequencies equal to multiples of the
carrier wave frequency indicate sufficiently narrow frequency ranges including the
respective frequencies equal to multiples of the carrier wave frequency. In the example
illustrated in FIG. 6, since the spectrum intensity indicated by the frequency spectrum
15 data exceeds the upper limit of the spectrum range in the vicinity of the frequency equal
to a multiple of the carrier wave frequency, the comparator 47 outputs a value of 1.
[0043] FIGS. 7 and 8 each illustrate another example of the frequency spectrum
data and the spectrum range. In FIGS. 7 and 8, the horizontal axis indicates the
frequency, and the vertical axis indicates the spectrum intensity. In FIGS. 7 and 8, the
20 solid line represents a piece of frequency spectrum data generated from the sensor data
based on the value measured by the first current sensor A1, and the dotted line represents
the upper limit of the spectrum range defined for the first current sensor A1.
[0044] FIG. 7 illustrates an example of the frequency spectrum data in the case of
no failure sign. Because of no failure sign, the spectrum intensity indicated by the
25 frequency spectrum data is within the spectrum range at all the frequencies in FIG. 7.
[0045] FIG. 8 illustrates an example of the frequency spectrum data in the case of
any failure sign. Specifically, FIG. 8 illustrates frequency spectrum data in the case of
17
increases in the saturation voltages Vce between the collector and emitter terminals of the
IGBTs, which are the switching elements included in the power converter 94. As
emphasized by the dashed and single-dotted circle in FIG. 8, increases in the saturation
voltages Vce between the collector and emitter terminals of the IGBTs cause an offset
5 voltage of the signal output from the first current sensor A1 and increase the DC
component, resulting in a rise in the spectrum intensity at a frequency in the vicinity of 0
Hz. In the example illustrated in FIG. 8, since the spectrum intensity indicated by the
frequency spectrum data exceeds the upper limit of the spectrum range at a frequency in
the vicinity of 0 Hz, the comparator 47 outputs a value of 1.
10 [0046] The counter 48 illustrated in FIG. 3 accumulates results output from the
comparator 47. When the value output from the counter 48, that is, the number counted
by the counter 48 exceeds a comparison result threshold, a failure sign can be deemed to
exist. The comparison result threshold is arbitrarily defined.
[0047] Operations of the failure sign determining device 1 having the
15 above-described configuration are described below with reference to FIG. 9.
The CPU 41 acquires the operating frequency of the power converter 94 and the
modulation factor and the carrier wave frequency of the switching control signal from the
switching controller 95 via the communication IF 43. When the acquired operating
frequency of the power converter 94 and the modulation factor and the carrier wave
20 frequency of the switching control signal accord with the predetermined operating
frequency, the predetermined modulation factor, and the predetermined carrier wave
frequency, respectively, then the CPU 41 starts the process of determining the existence
of a failure sign.
[0048] The CPU 41 provides the selector 22 with a selection instruction to select a
25 piece of sensor data based on the value measured by the first voltage sensor V1, for
example. The CPU 41 then causes the spectrum range defined for the first voltage
sensor V1 to be set in the spectrum range storage 46. The CPU 41 also provides the
18
FFT controller 32 with an initiation instruction.
[0049] The selector 22, when receiving the selection instruction from the CPU 41,
selects a piece of sensor data based on the value measured by the first voltage sensor V1,
from among the pieces of sensor data on the respective sensors that the reception circuit
5 21 acquires from the AD converter 61 (Step S11). The selector 22 then outputs the
selected piece of sensor data to the FFT circuit 31, and causes the selected piece of sensor
data to be stored into the sensor data storage 45.
[0050] The FFT controller 32, when receiving the initiation instruction from the
CPU 41, controls the FFT circuit 31 such that the FFT circuit 31 executes FFT on the
10 piece of sensor data to generate a piece of frequency spectrum data (Step S12). The
FFT circuit 31 then outputs the piece of frequency spectrum data to the comparator 47
and causes the frequency spectrum data to be stored into the spectrum data storage 44.
[0051] The comparator 47 compares the frequency spectrum data with the spectrum
range acquired from the spectrum range storage 46 (Step S13). When the frequency
15 spectrum data is not within the spectrum range (Step S14; No), the comparator 47 outputs
a value of 1, and the counter 48 counts once, so that the number counted by the counter
48 is incremented by one (Step S15). In contrast, when the frequency spectrum data is
within the spectrum range (Step S14; Yes), the comparator 47 outputs a value of 0, so
that the number counted by the counter 48 is not varied. In other words, the process
20 skips Step S15.
[0052] When the comparison has not yet been completed for all the frequencies
(Step S16; No), the operations from Step S13 to Step S15 are repeated. When the
comparison has been completed for all the frequencies (Step S16; Yes) and when the
number of executed FFTs is smaller than a predefined number of times (Step S17; Yes),
25 the process returns to Step S12 and repeats the above-described operations. Specifically,
the operations involve execution of FFT on the subsequent piece of sensor data based on
the value measured by the first voltage sensor V1, and comparison between the resulting
19
frequency spectrum data and the spectrum range.
[0053] When the comparison has been completed for all the frequencies (Step S16;
Yes) and when the number of executed FFTs is not smaller than the predefined number
of times (Step S17; Yes) and when the number counted by the counter 48 is not larger
5 than the comparison result (Step S18; No), then the process of determining the existence
of a failure sign is terminated.
[0054] When the comparison has been completed for all the frequencies (Step S16;
Yes) and when the number of executed FFTs is not smaller than the predefined number
of times (Step S17; Yes) and when the number counted by the counter 48 is larger than
10 the comparison result threshold (Step S18; Yes), then the CPU 41 transmits the frequency
spectrum data stored in the spectrum data storage 44 on the sensor corresponding to the
sensor data selected by the selector 22 and the sensor data stored in the sensor data
storage 45 on this sensor, to the analysis apparatus 62 via the communication IF 43 (Step
S19). After Step S19, the process of determining the existence of a failure sign is
15 terminated.
[0055] After completion of the above-described process, the failure sign
determining device 1 starts another process of determining the existence of a failure sign
using a piece of sensor data based on a value measured by another sensor. For example,
the failure sign determining device 1 first determines the existence of a failure sign using
20 a piece of sensor data based on the value measured by the first voltage sensor V1, and
then determines the existence of a failure sign using a piece of sensor data based on each
of the values measured by the first current sensors A1, A2, and A3. The failure sign
determining device 1 then determines the existence of a failure sign using a piece of
sensor data based on the value measured by the first voltage sensor V1 again.
25 [0056] As described above, the failure sign determining device 1 according to
Embodiment 1 determines the existence of a failure sign in a component of the apparatus
using pieces of sensor data based on the values measured by multiple sensors. The
20
determination of the existence of a failure sign using pieces of sensor data based on the
values measured by multiple sensors can improve the accuracy of determination of the
existence of a failure sign. Furthermore, the failure sign determining device 1 transmits
at least either of the frequency spectrum data and the sensor data to the analysis apparatus
5 62, only when determining that a failure sign exists.
[0057] This configuration can suppress an increase in data traffic between the
failure sign determining device 1 and the analysis apparatus 62. That is, the failure sign
determining device 1 can improve the accuracy of determination of the existence of a
failure sign while suppressing an increase in communication loads. In other words, a
10 network in the vehicle does not require bandwidth expansion for communication with the
analysis apparatus 62.
[0058] Embodiment 2
The spectrum range storage 46 does not necessarily store the upper limits of the
spectrum ranges at the respective frequencies as in Embodiment 1, and may store
15 spectrum ranges by any procedure. The failure sign determining device 1 according to
Embodiment 2 described below is characterized in that the spectrum range storage 46
stores spectrum ranges by a procedure different from that in Embodiment 1. The
configuration and operations of the failure sign determining device 1 according to
Embodiment 2 are identical to those in Embodiment 1.
20 [0059] In Embodiment 2, as illustrated in FIG. 10, the spectrum range storage 46
stores addresses each corresponding to the frequency at which the spectrum range varies,
and the upper limits of the varied spectrum ranges. The comparator 47 reads the upper
limit of the spectrum range from the spectrum range storage 46, and compares the
spectrum intensity indicated by the frequency spectrum data generated by the FFT circuit
25 31 with the upper limit of the spectrum range, as in Embodiment 1. Specifically, from
the address 0000h to the address 0013h, the comparator 47 compares the spectrum
intensity indicated by the frequency spectrum data with the upper limit Th1 of the
21
spectrum range. From the address 0014h to the address 0044h, the comparator 47
compares the spectrum intensity indicated by the frequency spectrum data with the upper
limit Th2 of the spectrum range.
[0060] As described above, the failure sign determining device 1 according to
5 Embodiment 2 specifies the spectrum range applied to the determination of the existence
of a failure sign in the apparatus, on the basis of the address corresponding to the
frequency at which the spectrum range varies and the upper limit of the varied spectrum
range, which are stored in the spectrum range storage 46. This configuration can allow
a memory having a small storage capacity to serve as the spectrum range storage 46. In
10 the case where a memory having the same storage capacity as that in Embodiment 1 is
employed as the spectrum range storage 46, the memory is able to store a larger number
of patterns of spectrum ranges.
[0061] Embodiment 3
The above-described manner of implementation of the failure sign determining
15 device is a mere example. As illustrated in FIG. 11, the switching controller 95 may
also be implemented on the FPGA 51 as well as the acquirer 11, the FFT processor 12,
and the part of the determiner 13 included in a failure sign determining device 2. The
failure sign determining device 2 is described below focusing on the differences from
Embodiment 1.
20 [0062] The switching controller 95 identifies the operation mode in accordance
with the operation instruction and the speed of the electric railway vehicle, and executes a
PWM control in accordance with the operation mode, as in Embodiment 1. The
switching controller 95 acquires the operation instruction and the speed of the electric
railway vehicle from the cab and the speed sensor, respectively, via the communication
25 IF 43.
[0063] The switching controller 95 then outputs the identified operation mode to
the selector 22, the FFT controller 32, and the spectrum range storage 46.
22
When the operation mode output from the switching controller 95 accords with the
predetermined operation mode, the selector 22 selects any of the pieces of sensor data on
the respective sensors received by the reception circuit 21, outputs the selected piece of
sensor data to the FFT circuit 31, and causes the selected piece of sensor data to be stored
5 into the sensor data storage 45.
[0064] When the operation mode output from the switching controller 95 accords
with the predetermined operation mode, the FFT controller 32 controls the FFT circuit 31
so as to start the FFT at the FFT circuit 31. The operation at the FFT circuit 31 is
identical to that in Embodiment 1.
10 [0065] The spectrum range storage 46 outputs the spectrum range defined in
accordance with the operation mode output from the switching controller 95, to the
comparator 47. The spectrum range storage 46 retains tables for the respective
operation modes. Each of the tables defines the upper limit of the spectrum range at
each frequency, as in Embodiment 1. The spectrum range storage 46 also stores the
15 lower limit of the spectrum range at the operating frequency of the power converter 94
for the first current sensor A1, in addition to the above-described upper limit of the
spectrum range, as is described in detail below.
[0066] The comparator 47 compares the frequency spectrum data with the spectrum
range defined for each sensor in accordance with the operation mode. Specifically, the
20 comparator 47 compares the spectrum intensity indicated by the frequency spectrum data
with the upper limit of the spectrum range stored in the spectrum range storage 46 at each
frequency, as in Embodiment 1. When the spectrum intensity indicated by the
frequency spectrum data is higher than the upper limit of the spectrum range, the
comparator 47 outputs a value of 1. In contrast, when the spectrum intensity indicated
25 by the frequency spectrum data is equal to or lower than the upper limit of the spectrum
range, the comparator 47 outputs a value of 0.
[0067] In addition, the comparator 47 in Embodiment 3 determines whether the
23
frequency spectrum data at a specific frequency is within the spectrum range.
Specifically, the comparator 47 compares the spectrum intensity indicated by the
frequency spectrum data with the lower limit of the spectrum range in the vicinity of the
frequency equal to the operating frequency of the power converter 94. The vicinity of
5 the frequency equal to the operating frequency indicates a sufficiently narrow frequency
range including the operating frequency. When the spectrum intensity indicated by the
frequency spectrum data in the vicinity of the frequency equal to the operating frequency
of the power converter 94 is lower than the lower limit of the spectrum range, the
comparator 47 outputs a value of 1. In contrast, when the spectrum intensity indicated
10 by the frequency spectrum data in the vicinity of the frequency equal to the operating
frequency of the power converter 94 is equal to or higher than the lower limit of the
spectrum range, the comparator 47 outputs a value of 0.
[0068] FIGS. 12 and 13 each illustrate an example of the frequency spectrum data
and the spectrum range. In FIGS. 12 and 13, the horizontal axis indicates the frequency,
15 and the vertical axis indicates the spectrum intensity. In FIGS. 12 and 13, the solid line
represents a piece of frequency spectrum data generated from the sensor data based on
the value measured by the first current sensor A1, and the dotted line represents the lower
limit of the spectrum range defined for the first current sensor A1 at the operating
frequency of the power converter 94.
20 [0069] FIG. 12 illustrates an example of the frequency spectrum data in the case of
no failure sign. Because of no failure sign, as emphasized by the dashed and
single-dotted circle in FIG. 12, the spectrum intensity indicated by the frequency
spectrum data exceeds the lower limit of the spectrum range in the vicinity of the
frequency equal to the operating frequency of the power converter 94.
25 [0070] FIG. 13 illustrates an example of the frequency spectrum data in the case of
any failure sign. Specifically, FIG. 13 illustrates the frequency spectrum data in the case
of a delay in the switching timing of the switching control signal provided from the
24
switching controller 95 to the IGBTs, which are the switching elements included in the
power converter 94. As emphasized by the dashed and single-dotted circle in FIG. 13, a
delay in the switching timing of the switching control signal lowers the spectrum
intensity indicated by the frequency spectrum data generated from the sensor data based
5 on the value measured by the first current sensor A1, in the vicinity of the frequency
equal to the operating frequency of the power converter 94. In the example illustrated in
FIG. 13, since the spectrum intensity indicated by the frequency spectrum data is lower
than the lower limit of the spectrum range in the vicinity of the frequency equal to the
operating frequency of the power converter 94, the comparator 47 outputs a value of 1.
10 [0071] As described above, the components of the failure sign determining device 2
operate on the basis of the identified operation mode acquired from the switching
controller 95 implemented on the FPGA 51. This configuration can improve the
accuracy of determination of the existence of a failure sign in the apparatus, using pieces
of frequency spectrum data generated from the sensor data based on the values measured
15 by multiple sensors and the spectrum ranges for the respective operation modes.
[0072] Furthermore, the lower limit of the spectrum range at the operating
frequency and the upper limit of the spectrum range are defined for a single sensor,
specifically, for the first current sensor A1. This configuration can achieve detection of
multiple failure signs from a single piece of sensor data.
20 [0073] Embodiment 4
The above-described sensors used in determination of a failure sign are mere
examples. The flowing description is directed to a failure sign determining device 3 to
determine the existence of a failure sign using a piece of sensor data based on a value
measured by a vibration sensor 97 illustrated in FIG. 14 in addition to the pieces of sensor
25 data based on values measured by the first voltage sensor V1 and the first current sensors
A1, A2, and A3, focusing on the differences from Embodiment 1.
[0074] The failure sign determining device 3 determines the existence of a failure
25
sign in each of the power conversion apparatus 93 and the motor 96. The power
conversion apparatus 93 and the motor 96 have configurations identical those in
Embodiment 1. The vibration sensor 97 is mounted on the bearing of the motor 96, and
measures a value of acceleration of the bearing and then outputs the measured value to
5 the AD converter 61.
[0075] The AD converter 61 executes AD conversion of the respective values
measured by the first voltage sensor V1, the first current sensors A1, A2, and A3, and the
vibration sensor 97 into pieces of digital data, and thereby generates the pieces of sensor
data on the respective sensors, and then outputs the pieces of generated sensor data to the
10 failure sign determining device 3.
[0076] As illustrated in FIG. 15, the failure sign determining device 3 further
includes an envelope calculator 14 in addition to the components of the failure sign
determining device 1 according to Embodiment 1. The failure sign determining device
3 is described in detail below.
15 The acquirer 11 acquires, from the AD converter 61, pieces of sensor data on the
respective sensors, specifically, a piece of sensor data based on the value measured by the
first voltage sensor V1, a piece of sensor data based on the value measured by the first
current sensor A1, a piece of sensor data based on the value measured by the first current
sensor A2, a piece of sensor data based on the value measured by the first current sensor
20 A3, and a piece of sensor data based on the value measured by the vibration sensor 97.
[0077] The acquirer 11 then selects any of the acquired pieces of sensor data.
When the selected data is the sensor data based on the value measured by the vibration
sensor 97, the acquirer 11 outputs the selected data to the envelope calculator 14. In
contrast, when the selected data is the sensor data based on the value measured by any of
25 the first voltage sensor V1 and the first current sensors A1, A2, and A3, then the acquirer
11 outputs the selected data to the FFT processor 12 and the determiner 13.
[0078] The envelope calculator 14 calculates an envelope from the piece of sensor
26
data output from the acquirer 11 and thereby generates a piece of envelope data
indicating the envelope. The envelope calculator 14 then outputs the envelope data to
the FFT processor 12 and the determiner 13.
[0079] The FFT processor 12 executes FFT on the piece of sensor data acquired
5 from the acquirer 11 or the piece of envelope data acquired from the envelope calculator
14 and thereby generates a piece of frequency spectrum data. The FFT processor 12
then outputs the frequency spectrum data to the determiner 13.
[0080] An exemplary manner of implementation of the failure sign determining
device 3 is described below with reference to FIG. 16. The failure sign determining
10 device 3 further includes the envelope calculator 14 implemented on the FPGA 51, in
addition to the components of the failure sign determining device 1 according to
Embodiment 1 illustrated in FIG. 3.
[0081] The selector 22 selects one of the multiple pieces of sensor data acquired by
the reception circuit 21 in the order of acquisition, for example. When the selected data
15 is sensor data based on the value measured by any of the first voltage sensor V1 and the
first current sensors A1, A2, and A3, then the selector 22 outputs the selected data to the
FFT circuit 31 and causes the selected data to be stored into the sensor data storage 45.
In contrast, when the selected data is the sensor data based on the value measured by the
vibration sensor 97, the selector 22 outputs the selected data to the envelope calculator
20 14.
[0082] The envelope calculator 14 calculates an envelope from the piece of sensor
data output from the selector 22 and thereby generates a piece of envelope data indicating
the envelope. The envelope calculator 14 then outputs the envelope data to the FFT
circuit 31 and causes the envelope data to be stored into the sensor data storage 45.
25 [0083] FIG. 17 illustrates an example of sensor data acquired by the envelope
calculator 14. In FIG. 17, the horizontal axis indicates the time, and the vertical axis
indicates the acceleration. FIG. 18 illustrates an example of envelope data generated by
27
the envelope calculator 14. In FIG. 18, the horizontal axis indicates the time, and the
vertical axis indicates the amplitude of the envelope. The envelope calculator 14
calculates an envelope of the piece of sensor data illustrated in FIG. 17 and thereby
generates a piece of envelope data illustrated in FIG. 18.
5 [0084] FIGS. 19 and 20 each illustrate an example of the frequency spectrum data
generated from envelope data and the spectrum range. In FIGS. 19 and 20, the
horizontal axis indicates the frequency, and the vertical axis indicates the spectrum
intensity. In FIGS. 19 and 20, the solid line represents frequency spectrum data
generated from the sensor data based on the value measured by the vibration sensor 97,
10 and the dotted line represents the upper limit of the spectrum range defined for the
vibration sensor 97.
[0085] FIG. 19 illustrates an example of frequency spectrum data in the case of no
failure sign. Because of no failure sign, the spectrum intensity indicated by the
frequency spectrum data is within the spectrum range at all the frequencies in FIG. 19.
15 [0086] FIG. 20 illustrates an example of frequency spectrum data in the case of any
failure sign. Specifically, FIG. 20 illustrates frequency spectrum data when the bearing
of the motor 96 has any scratch. As emphasized by the dashed and single-dotted circle
in FIG. 20, a scratch on the bearing causes rises in the spectrum intensity indicated by the
frequency spectrum data generated from the envelope data in a low frequency region.
20 In the example illustrated in FIG. 20, since the spectrum intensity indicated by the
frequency spectrum data exceeds the upper limit of the spectrum range in the low
frequency region, the comparator 47 outputs a value of 1.
[0087] Operations of the failure sign determining device 3 are described below with
reference to FIG. 21. The operation in Step S11 is identical to that executed by the
25 failure sign determining device 1 illustrated in FIG. 9.
When the sensor data selected in Step S11 is a piece of sensor data based on the
value measured by the vibration sensor 97 (Step S21; Yes), the envelope calculator 14
28
calculates an envelope from the piece of sensor data and thereby generates a piece of
envelope data indicating the envelope (Step S22). In contrast, when the sensor data
selected in Step S11 is not the piece of sensor data based on the value measured by the
vibration sensor 97 (Step S21; No), the process skips Step S22. The FFT circuit 31
5 executes FFT on the piece of sensor data selected in Step S11 or the piece of envelope
data generated in Step S22 and thereby generates a piece of frequency spectrum data
(Step S12).
[0088] In detail, when a piece of envelope data is generated in Step S22, the FFT
circuit 31 executes FFT on the piece of envelope data and thereby generates a piece of
10 frequency spectrum data in Step S12. In contrast, when the process skips Step S22, the
FFT circuit 31 executes FFT on the piece of sensor data selected in Step S11 and thereby
generates a piece of frequency spectrum data in Step S12. Step S13 and the following
steps are identical to those in Embodiment 1.
[0089] As described above, the failure sign determining device 3 according to
15 Embodiment 4 calculates an envelope from a piece of sensor data based on the value
measured by the vibration sensor 97, and determines the existence of a failure sign in the
apparatus on the basis of a piece of frequency spectrum data generated from the envelope
data indicating the envelope. The failure sign determining device 3 can therefore
determine the existence of a failure sign in the motor 96.
20 [0090] The above-described embodiments should not be construed as limiting the
present disclosure. Some of the embodiments may be arbitrarily combined with each
other. The above-described circuit configurations and flowcharts are mere examples
and may be arbitrarily modified.
[0091] The above-mentioned manners of implementation of the failure sign
25 determining devices 1 to 3 are mere examples. For example, the operations at the CPU
41 may also be performed by the digital signal processor (DSP).
[0092] The failure sign determining devices 1 to 3 may determine the existence of a
29
failure sign using a piece of sensor data based on a value measured by a sensor other than
the first voltage sensor V1 and the first current sensors A1, A2, and A3. For example, a
power conversion apparatus 98 illustrated in FIG. 22 further includes a second voltage
sensor V2 and a second current sensor A4, in addition to the first voltage sensor V1 and
5 the first current sensors A1, A2, and A3.
[0093] The second voltage sensor V2 measures a voltage of the power source for
feeding electric power to the power conversion apparatus 98, in other words, an overhead
wire voltage. In detail, one end of the second voltage sensor V2 is connected to the
point of connection between the current collector 92 and the contactor MC1, and the
10 other end is grounded. The second voltage sensor V2 thus measures a potential
difference between the ground point and the point of connection between the current
collector 92 and the contactor MC1.
The second current sensor A4 measures a value of current input to the power
converter 94. In detail, the second current sensor A4 is provided to the line connecting
15 the filter reactor FL1 to the power converter 94, and measures a current flowing in the
line connecting the filter reactor FL1 to the power converter 94.
[0094] The failure sign determining device 1 illustrated in FIG. 22 retains spectrum
ranges defined for the respective first voltage sensor V1, the first current sensors A1, A2,
and A3, the second voltage sensor V2, and the second current sensor A4. The failure
20 sign determining device 1 compares the frequency spectrum data generated from the
sensor data based on the value measured by each sensor with the spectrum range defined
for each sensor, and can thereby determine the existence of a failure sign.
[0095] The power conversion apparatus does not necessarily include all of the first
current sensors A1, A2, and A3 corresponding to the respective phases and may include
25 only two of the first current sensors A1, A2, and A3. In an exemplary case where the
first current sensors A1 and A2 are provided to measure values of U-phase current and
V-phase current output from the power converter 94, the failure sign determining devices
30
1 to 3 can calculate a value of W-phase current from the values measured by the first
current sensors A1 and A2.
[0096] The power conversion apparatuses 93 and 98 may include some sensors
selected from among the first voltage sensor V1, the second voltage sensor V2, the first
5 current sensors A1, A2, and A3, the second current sensor A4, and the vibration sensor
97. For example, the power conversion apparatus 93 may include the first voltage
sensor V1 and the second voltage sensor V2. In this case, the failure sign determining
device 1 retains the respective spectrum ranges defined for the first voltage sensor V1 and
the second voltage sensor V2. This failure sign determining device 1 compares the
10 frequency spectrum data generated from the sensor data based on the value measured by
each sensor with the spectrum range defined for each sensor, and can thereby determine
the existence of a failure sign.
[0097] The above-mentioned position of the vibration sensor 97 is a mere example.
For example, the vibration sensor 97 may also be mounted on a gear unit that transmits
15 the torque of the motor 96 to the wheels.
The number of the vibration sensor 97 is not necessarily one. For example, the
bearing of the motor 96 and the gear unit may be provided with respective vibration
sensors 97. In this case, the failure sign determining device 3 generates pieces of
envelope data from the pieces of sensor data based on the respective values measured by
20 the vibration sensor 97 mounted on the bearing of the motor 96 and the vibration sensor
97 mounted on the gear unit. This failure sign determining device 3 compares the piece
of frequency spectrum data generated from each of the pieces of envelope data with the
spectrum range, and can thereby determine the existence of a failure sign.
[0098] The failure sign determining devices 1 to 3 may be applied to any apparatus
25 other than the power conversion apparatuses 93 and 98 installed in the electric railway
vehicle of a DC feeding system. For example, the failure sign determining devices 1 to
3 may be applied to a power conversion apparatus installed in an electric railway vehicle
31
of an AC feeding system.
[0099] The failure sign determining devices 1 to 3 may also be a separate device
independent from the power conversion apparatus 93 or 98. Alternatively, the failure
sign determining devices 1 to 3 may be implemented as a part of the functions of a
5 system installed in an electric railway vehicle. Specifically, the failure sign determining
devices 1 to 3 may be implemented as a part of the functions of a train information
management system (TIMS).
[0100] The power conversion apparatuses 93 and 98 may be installed in an electric
railway vehicle that acquires electric power via third rails, or a diesel vehicle. The
10 power conversion apparatuses 93 and 98 may also be installed in any moving body, such
as automobile, aircraft, or marine vessel, other than the electric railway vehicle.
[0101] The power conversion apparatus 93 may feed electric power to any load
other than the motor 96. For example, the power conversion apparatus 93 may feed
electric power to a load, such as lighting equipment or air conditioner. In this case, the
15 load is provided with the vibration sensor 97 or another sensor, so that the failure sign
determining devices 1 to 3 can determine the existence of a failure sign in the component
of the load.
[0102] The above-mentioned power converter 94 is a mere example and may also
be a direct current-direct current (DC-DC) converter, for example. In this case, the
20 failure sign determining devices 1 to 3 may determine the existence of a failure sign on
the basis of the value measured by a current sensor for measuring a value of DC current
output from the power converter 94.
[0103] The switching controller 95 may acquire the speed of the electric railway
vehicle by a procedure other than the above-mentioned procedure. For example, the
25 switching controller 95 may acquire the speed of the electric railway vehicle from an
automatic train control (ATC) device.
[0104] The selector 22 may select a piece of sensor data by any procedure. For
32
example, the selector 22 may select a piece of sensor data in accordance with the
operation mode.
[0105] The CPU 41 may transmit the frequency spectrum data stored in the
spectrum data storage 44 on the sensor corresponding to the sensor data selected by the
5 selector 22 and the sensor data stored in the sensor data storage 45 on this sensor to the
analysis apparatus 62 via the communication IF 43, when the number counted by the
counter 48 is larger than the comparison result threshold within a predetermined period.
This predetermined period may be shortened in response to every detection of the
counted number larger than the comparison result threshold.
10 [0106] The CPU 41 may stop the FFT when the number counted by the counter 48
is larger than the comparison result threshold, despite of the number of executed FFTs
smaller than the predefined number of times.
[0107] The foregoing describes some example embodiments for explanatory
purposes. Although the foregoing discussion has presented specific embodiments,
15 persons skilled in the art will recognize that changes may be made in form and detail
without departing from the broader spirit and scope of the invention. Accordingly, the
specification and drawings are to be regarded in an illustrative rather than a restrictive
sense. This detailed description, therefore, is not to be taken in a limiting sense, and the
scope of the invention is defined only by the included claims, along with the full range of
20 equivalents to which such claims are entitled.
Reference Signs List
[0108] 1, 2, 3 Failure sign determining device
11 Acquirer
12 FFT processor
25 13 Determiner
14 Envelope calculator
21 Reception circuit
33
22 Selector
31 FFT circuit
32 FFT controller
41 CPU
5 42 Memory
43 Communication IF
44 Spectrum data storage
45 Sensor data storage
46 Spectrum range storage
10 47 Comparator
48 Counter
51 FPGA
61 AD converter
62 Analysis apparatus
15 91 Overhead wire
92 Current collector
93, 98 Power conversion apparatus
94 Power converter
95 Switching controller
20 96 Motor
97 Vibration sensor
A1, A2, A3 First current sensor
A4 Second current sensor
B1 System bus
25 FC1 Filter capacitor
FL1 Filter reactor
MC1 Contactor
34
V1 First voltage sensor
V2 Second voltage sensor
We Claim:
1. A failure sign determining device that determines existence of a failure
sign in a component of an apparatus installed in a vehicle, the failure sign determining
5 device comprising:
an acquirer to acquire pieces of sensor data on a plurality of sensors installed in
the vehicle for measuring mutually different physical quantities, the pieces of sensor data
being pieces of digital data based on respective values measured by the plurality of
sensors;
10 an FFT processor to execute fast Fourier transform on each of the pieces of
sensor data acquired by the acquirer and thereby generate a piece of frequency spectrum
data indicating a spectrum intensity at each frequency; and
a determiner to determine the existence of a failure sign on basis of comparison
between the piece of frequency spectrum data and a spectrum range defined for the
15 sensor corresponding to the piece of sensor data used in the generation of the piece of
frequency spectrum data, wherein
the determiner, only when determining that a failure sign exists, transmits at
least either of the piece of frequency spectrum data applied to the determination of the
existence of a failure sign and the piece of sensor data used in the generation of the piece
20 of frequency spectrum data applied to the determination of the existence of a failure sign,
to an analysis apparatus installed in the vehicle or outside the vehicle.
2. The failure sign determining device according to claim 1, wherein the
determiner determines, at each frequency, whether the spectrum intensity indicated by the
25 piece of frequency spectrum data is within the spectrum range.
36
3. The failure sign determining device according to claim 1 or 2, further
comprising:
a selector to select and output one of the pieces of sensor data on the respective
plurality of sensors acquired by the acquirer, wherein
5 the FFT processor executes the fast Fourier transform on the piece of sensor
data output from the selector and thereby generates the piece of frequency spectrum data.
4. The failure sign determining device according to any one of claims 1 to
3, wherein the plurality of sensors include an electrical sensor provided to the apparatus
10 and configured to measure an electrical physical quantity of the component.
5. The failure sign determining device according to any one of claims 1 to
4, wherein the plurality of sensors include a vibration sensor provided to the apparatus or
the vehicle and configured to measure a value of vibration at a position where the
15 vibration sensor is provided.
6. The failure sign determining device according to claim 5, further
comprising:
an envelope calculator to calculate an envelope from the piece of sensor data
20 based on the value measured by the vibration sensor and thereby generate a piece of
envelope data indicating the envelope, wherein
the FFT processor executes the fast Fourier transform on the piece of envelope
data generated by the envelope calculator and thereby generates the piece of frequency
spectrum data.
25
7. The failure sign determining device according to any one of claims 1 to
6, wherein
37
the spectrum range is defined for each of the plurality of sensors in accordance
with an operation mode of the vehicle, and
the determiner acquires the operation mode of the vehicle, and then determines
the existence of a failure sign on basis of comparison with the spectrum range, the
5 spectrum range being defined, in accordance with the operation mode, for the sensor
corresponding to the piece of sensor data used in the generation of the piece of frequency
spectrum data.
8. The failure sign determining device according to claim 7, wherein
10 the determiner acquires the operation mode of the vehicle, and
when the acquired operation mode accords with a predetermined operation
mode, the determiner determines the existence of a failure sign on basis of comparison
with the spectrum range, the spectrum range being defined, in accordance with the
operation mode, for the sensor corresponding to the piece of sensor data used in the
15 generation of the piece of frequency spectrum data.
9. The failure sign determining device according to claim 7 or 8, wherein
the operation mode is uniquely determined by an operation instruction indicating an
acceleration or deceleration of the vehicle and a speed of the vehicle.
20
10. The failure sign determining device according to claim 9, wherein
the apparatus is a power conversion apparatus comprising a power converter to
convert electric power fed from a power source into electric power to be fed to a load, the
power conversion apparatus being configured to feed the electric power converted by the
25 power converter to a motor for generating a force to drive the vehicle, and
the operation mode is uniquely determined by an operating frequency of the
power converter depending on the operation instruction and the speed of the vehicle, and
38
a modulation factor and a carrier wave frequency of a switching control signal for
controlling switching elements included in the power converter.
11. The failure sign determining device according to any one of claims 1 to
5 9, wherein the apparatus is a power conversion apparatus comprising a power converter
to convert electric power fed from a power source into electric power to be fed to a load,
the power conversion apparatus being configured to feed the electric power converted by
the power converter to a motor for generating a force to drive the vehicle.
10 12. The failure sign determining device according to claim 10 or 11,
wherein the plurality of sensors include a first voltage sensor to measure a value of
voltage input to the power converter.
13. The failure sign determining device according to any one of claims 10
15 to 12, wherein the plurality of sensors include a first current sensor to measure a value of
current output from the power converter.
14. The failure sign determining device according to any one of claims 10
to 13, wherein the plurality of sensors include a second current sensor to measure a value
20 of current input to the power converter.
15. The failure sign determining device according to any one of claims 10
to 14, wherein the plurality of sensors include a second voltage sensor to measure a value
of voltage of the power source that feeds the electric power to the power converter.
25
16. The failure sign determining device according to any one of claims 1 to
15, further comprising:
39
a spectrum range storage to retain a value of the spectrum range at each
frequency.
17. The failure sign determining device according to any one of claims 1 to
5 15, wherein
the spectrum range varies stepwise depending on a frequency,
the failure sign determining device further comprises a spectrum range storage
to retain a value of the frequency at which the spectrum range varies and the varied
spectrum range, and
10 the determiner specifies a spectrum range defined for the sensor corresponding
to the piece of sensor data used in the generation of the piece of frequency spectrum data
on basis of the frequency corresponding to the piece of frequency spectrum data and the
value of the frequency at which the spectrum range varies, the value of the frequency
being retained in the spectrum range storage, and then determines the existence of a
15 failure sign on basis of comparison between the piece of frequency spectrum data and the
specified spectrum range.
18. An in-vehicle apparatus to be installed in a vehicle, the in-vehicle
apparatus comprising:
20 the failure sign determining device according to any one of claims 1 to 17,
wherein
the failure sign determining device determines existence of a failure sign in a
component of the in-vehicle apparatus.
25 19. A method of determining a failure sign, the method comprising:
40
acquiring pieces of sensor data on a plurality of sensors for measuring mutually
different physical quantities, the pieces of sensor data being pieces of digital data based
on respective values measured by the respective plurality of sensors;
executing fast Fourier transform on each of the acquired pieces of sensor data
5 and thereby generating a piece of frequency spectrum data indicating a spectrum intensity
at each frequency; and
determining existence of a failure sign in a component of an apparatus on basis
of comparison between the piece of frequency spectrum data and a spectrum range
defined for the sensor corresponding to the piece of sensor data used in the generation of
10 the piece of frequency spectrum data.
| Section | Controller | Decision Date |
|---|---|---|
| # | Name | Date |
|---|---|---|
| 1 | 202227065207-IntimationOfGrant24-05-2024.pdf | 2024-05-24 |
| 1 | 202227065207.pdf | 2022-11-14 |
| 2 | 202227065207-PatentCertificate24-05-2024.pdf | 2024-05-24 |
| 2 | 202227065207-TRANSLATIOIN OF PRIOIRTY DOCUMENTS ETC. [14-11-2022(online)].pdf | 2022-11-14 |
| 3 | 202227065207-STATEMENT OF UNDERTAKING (FORM 3) [14-11-2022(online)].pdf | 2022-11-14 |
| 3 | 202227065207-FORM 3 [18-10-2023(online)].pdf | 2023-10-18 |
| 4 | 202227065207-REQUEST FOR EXAMINATION (FORM-18) [14-11-2022(online)].pdf | 2022-11-14 |
| 4 | 202227065207-ABSTRACT [26-06-2023(online)].pdf | 2023-06-26 |
| 5 | 202227065207-PROOF OF RIGHT [14-11-2022(online)].pdf | 2022-11-14 |
| 5 | 202227065207-CLAIMS [26-06-2023(online)].pdf | 2023-06-26 |
| 6 | 202227065207-POWER OF AUTHORITY [14-11-2022(online)].pdf | 2022-11-14 |
| 6 | 202227065207-COMPLETE SPECIFICATION [26-06-2023(online)].pdf | 2023-06-26 |
| 7 | 202227065207-FORM 18 [14-11-2022(online)].pdf | 2022-11-14 |
| 7 | 202227065207-DRAWING [26-06-2023(online)].pdf | 2023-06-26 |
| 8 | 202227065207-FORM 1 [14-11-2022(online)].pdf | 2022-11-14 |
| 8 | 202227065207-FER_SER_REPLY [26-06-2023(online)].pdf | 2023-06-26 |
| 9 | 202227065207-FIGURE OF ABSTRACT [14-11-2022(online)].pdf | 2022-11-14 |
| 9 | 202227065207-OTHERS [26-06-2023(online)].pdf | 2023-06-26 |
| 10 | 202227065207-DRAWINGS [14-11-2022(online)].pdf | 2022-11-14 |
| 10 | 202227065207-Information under section 8(2) [09-06-2023(online)].pdf | 2023-06-09 |
| 11 | 202227065207-DECLARATION OF INVENTORSHIP (FORM 5) [14-11-2022(online)].pdf | 2022-11-14 |
| 11 | 202227065207-FORM 3 [21-04-2023(online)].pdf | 2023-04-21 |
| 12 | 202227065207-COMPLETE SPECIFICATION [14-11-2022(online)].pdf | 2022-11-14 |
| 12 | 202227065207-FER.pdf | 2023-03-07 |
| 13 | 202227065207-MARKED COPIES OF AMENDEMENTS [22-11-2022(online)].pdf | 2022-11-22 |
| 13 | Abstract1.jpg | 2022-12-17 |
| 14 | 202227065207-AMMENDED DOCUMENTS [22-11-2022(online)].pdf | 2022-11-22 |
| 14 | 202227065207-FORM 13 [22-11-2022(online)].pdf | 2022-11-22 |
| 15 | 202227065207-AMMENDED DOCUMENTS [22-11-2022(online)].pdf | 2022-11-22 |
| 15 | 202227065207-FORM 13 [22-11-2022(online)].pdf | 2022-11-22 |
| 16 | 202227065207-MARKED COPIES OF AMENDEMENTS [22-11-2022(online)].pdf | 2022-11-22 |
| 16 | Abstract1.jpg | 2022-12-17 |
| 17 | 202227065207-FER.pdf | 2023-03-07 |
| 17 | 202227065207-COMPLETE SPECIFICATION [14-11-2022(online)].pdf | 2022-11-14 |
| 18 | 202227065207-DECLARATION OF INVENTORSHIP (FORM 5) [14-11-2022(online)].pdf | 2022-11-14 |
| 18 | 202227065207-FORM 3 [21-04-2023(online)].pdf | 2023-04-21 |
| 19 | 202227065207-DRAWINGS [14-11-2022(online)].pdf | 2022-11-14 |
| 19 | 202227065207-Information under section 8(2) [09-06-2023(online)].pdf | 2023-06-09 |
| 20 | 202227065207-FIGURE OF ABSTRACT [14-11-2022(online)].pdf | 2022-11-14 |
| 20 | 202227065207-OTHERS [26-06-2023(online)].pdf | 2023-06-26 |
| 21 | 202227065207-FER_SER_REPLY [26-06-2023(online)].pdf | 2023-06-26 |
| 21 | 202227065207-FORM 1 [14-11-2022(online)].pdf | 2022-11-14 |
| 22 | 202227065207-DRAWING [26-06-2023(online)].pdf | 2023-06-26 |
| 22 | 202227065207-FORM 18 [14-11-2022(online)].pdf | 2022-11-14 |
| 23 | 202227065207-COMPLETE SPECIFICATION [26-06-2023(online)].pdf | 2023-06-26 |
| 23 | 202227065207-POWER OF AUTHORITY [14-11-2022(online)].pdf | 2022-11-14 |
| 24 | 202227065207-CLAIMS [26-06-2023(online)].pdf | 2023-06-26 |
| 24 | 202227065207-PROOF OF RIGHT [14-11-2022(online)].pdf | 2022-11-14 |
| 25 | 202227065207-REQUEST FOR EXAMINATION (FORM-18) [14-11-2022(online)].pdf | 2022-11-14 |
| 25 | 202227065207-ABSTRACT [26-06-2023(online)].pdf | 2023-06-26 |
| 26 | 202227065207-STATEMENT OF UNDERTAKING (FORM 3) [14-11-2022(online)].pdf | 2022-11-14 |
| 26 | 202227065207-FORM 3 [18-10-2023(online)].pdf | 2023-10-18 |
| 27 | 202227065207-TRANSLATIOIN OF PRIOIRTY DOCUMENTS ETC. [14-11-2022(online)].pdf | 2022-11-14 |
| 27 | 202227065207-PatentCertificate24-05-2024.pdf | 2024-05-24 |
| 28 | 202227065207.pdf | 2022-11-14 |
| 28 | 202227065207-IntimationOfGrant24-05-2024.pdf | 2024-05-24 |
| 1 | SearchStrategyE_03-03-2023.pdf |