Description:TECHNICAL FIELD
[0001] The present disclosure relates to electric locomotive braking system. More particularly the present disclosure relates a system and method for real time monitoring electric locomotive braking system for early diagnoses of potential faults.

BACKGROUND
[0002] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] India has the fourth largest rail network in the world. As one of the most asset-intensive industries in the world, the Indian rail industry invests nearly 20% of its revenue in asset maintenance to ensure safe operations. ILS India Electric Brake System is designed for use in 3-Phase Electric Locomotive for WAG9, WAP7 and WAP5 type Locomotives. System architecture is based on the Line Replaceable Unit (LRU) design, which distributes the intelligence of the system control. This system is controlled by a microprocessor. Each LRU has self-testing capabilities, as well as a continuous self-diagnosis feature. It has integrated pneumatic and electronic components. Redundancy has been built into the system for brake pipe pressure and brake cylinder pressure control. There is a gateway, which is the communication interface between the Train Control, the Brakes Control, and the Braking Mechanism. This Communication gateway will broadcast the signal values from the Ethernet port to IoT system, at a frequency of 1000 millisecond. However, in railway industry, equipment failures such as failure of the brake system can result in fatal consequences, unplanned outages and unreliable operations can severely impact revenues as well as customer satisfaction and safety. India electric locomotive brake system is designed and developed for use in Electric/Pneumatic locomotive.
[0004] There is, therefore, a need for a system for monitoring electric locomotive brakes, which is capable of diagnose possible or potential failure the electric locomotive brakes can encounter based on current data of the electric locomotive brakes.

OBJECTS OF THE PRESENT DISCLOSURE
[0005] Some of the objects of the present disclosure, which at least one embodiment herein satisfy are as listed hereinbelow.
[0006] It is an object of the present disclosure to provide a system for monitoring electric locomotive brakes, which is capable of spotting impending failure, so maintenance can be proactively scheduled before the failure occurs.
[0007] It is an object of the present disclosure to provide a system for monitoring electric locomotive brakes, which reduces any down time possibility due to any potential failure.
[0008] It is an object of the present disclosure to provide a system for monitoring electric locomotive brakes, which is simple and easy to use.

SUMMARY
[0009] The present disclosure relates to electric locomotive braking system. More particularly the present disclosure relates a system and method for real time monitoring electric locomotive braking system for early diagnoses of potential faults.
[0010] An aspect of the present disclosure pertains to a system for monitoring electric locomotive brakes. The system includes a processor communicatively coupled with the electric locomotive brakes or brake system, and configured to execute a set of instructions, stored in a memory, which instructions on execution causes the system to receive, from the electric locomotive brakes, a first information pertaining to a health condition of the electric locomotive brakes. The system is further configured to diagnose, based on the first information, one or more potential failures of the electric locomotive brakes by applying a plurality of failure mode approaches on the received first information. The system is further configured to transmit, based on the diagnosed one or more potential failures, a notification to one or more mobile computing devices associated with the electric locomotive brakes.
[0011] In an aspect, the system may comprise one or more global position system (GPS) modules communicatively configured to transmit, to the one or more mobile computing devices, one or more maintenance facilities.
[0012] In an aspect, the first information received may be fed into predictive model for enabling proactive maintenance operations through the one or more failure mode approaches.
[0013] In an aspect, the one or more potential faults may comprise any or combination of fault codes and parametric values created in a moving locomotive with the electric locomotive brakes.
[0014] In an aspect, the system may be configured with a database configured to store the diagnosed one or more potential failures.
[0015] Yet another aspect of the present disclosure pertains to a method for monitoring electric locomotive brakes. The method includes receiving, by a processor, a first information pertaining to a health condition of the electric locomotive brakes from the electric locomotive brakes. The method further includes diagnosing, by the processor, one or more potential failures of the electric locomotive brakes by applying a plurality of failure mode approaches on the received first information. The method includes transmitting, by the processor, a notification to one or more mobile computing devices associated with the electric locomotive brakes based on the diagnosed one or more potential failures.
[0016] Various objects, features, aspects, and advantages of the inventive subject matter will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which like numerals represent like components.

BRIEF DESCRIPTION OF DRAWINGS
[0017] The accompanying drawings are included to provide a further understanding of the present disclosure, and are incorporated in and constitute a part of this specification. The drawings illustrate exemplary embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure. The diagrams are for illustration only, which thus is not a limitation of the present disclosure.
[0018] In the figures, similar components and/or features may have the same reference label. Further, various components of the same type may be distinguished by following the reference label with a second label that distinguishes among the similar components. If only the first reference label is used in the specification, the description is applicable to any one of the similar components having the same first reference label irrespective of the second reference label.
[0019] FIG. 1 illustrates an exemplary representation of block diagram of a system for monitoring electric locomotive brakes, in accordance with an embodiment of the present disclosure.
[0020] FIG. 2 illustrates an exemplary representation of a module diagram of the system for monitoring electric locomotive brakes, in accordance with an embodiment of the present disclosure.
[0021] FIG. 3 illustrates a method for monitoring electric locomotive brakes, in accordance with an embodiment of the present disclosure.
[0022] FIG. 4 illustrates an exemplary computer system to implement the proposed system, in accordance with an embodiment of the present disclosure.

DETAILED DESCRIPTION
[0023] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to clearly communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
[0024] In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present invention. It will be apparent to one skilled in the art that embodiments of the present invention may be practiced without some of these specific details.
[0025] The present disclosure relates to electric locomotive braking system. More particularly the present disclosure relates a system and method for real time monitoring electric locomotive braking system for early diagnoses of potential faults.
[0026] The present disclosure elaborates upon a system for monitoring electric locomotive brakes. The system includes a processor communicatively coupled with the electric locomotive brakes. The system is configured to execute a set of instructions, stored in a memory, which instructions on execution causes the system to receive, from the electric locomotive brakes, a first information pertaining to a health condition of the electric locomotive brakes. The system is further configured to diagnose, based on the first information, one or more potential failures of the electric locomotive brakes by applying a plurality of failure mode approaches on the received first information. The system is further configured to transmit, based on the diagnosed one or more potential failures, a notification to one or more mobile computing devices associated with the electric locomotive brakes.
[0027] In an embodiment, the system can comprise one or more global position system (GPS) modules communicatively configured to transmit, to the one or more mobile computing devices, one or more maintenance facilities.
[0028] In an embodiment, the first information received can be fed into predictive model for enabling proactive maintenance operations through the one or more failure mode approaches.
[0029] In an embodiment, the one or more potential faults can comprise any or combination of fault codes and parametric values created in a moving locomotive with the electric locomotive brakes.
[0030] In an embodiment, the system can be configured with a database configured to store the diagnosed one or more potential failures.
[0031] Yet another embodiment of the present disclosure pertains to a method for monitoring electric locomotive brakes. The method includes receiving, by a processor, a first information pertaining to a health condition of the electric locomotive brakes from the electric locomotive brakes. The method further includes diagnosing, by the processor, one or more potential failures of the electric locomotive brakes by applying a plurality of failure mode approaches on the received first information. The method includes transmitting, by the processor, a notification to one or more mobile computing devices associated with the electric locomotive brakes based on the diagnosed one or more potential failures.
[0032] FIG. 1 illustrates an exemplary representation of block diagram of a system for monitoring electric locomotive brakes, in accordance with an embodiment of the present disclosure.
[0033] As illustrated, a system 100 for monitoring electric locomotive brakes can include a processing unit 102 having a processor that can be communicatively coupled with the electric locomotive brakes 104. The system 100 can be configured to receive a first information pertaining to a health condition of the electric locomotive brakes 104 from the electric locomotive brakes 104. The system 100 can be further configured to diagnose one or more potential failures of the electric locomotive brakes based on the first information. The processor can be operatively configured with power supply 110 for receiving input power and a serial interfacing module 108 for external communication.
[0034] In an embodiment, the system 100 can be configured to diagnose one or more potential failures in the electric locomotive brakes 104 by applying a plurality of failure mode approaches on the received first information. The plurality of failure mode approaches can include but is not limited to failure mode effect and criticality analysis (FMECA). Some of the primary category failure modes include service affecting failure mode and safety affecting failure more. The system 100 can be further configured to transmit a notification to one or more mobile computing devices, associated with the electric locomotive brakes, based on the diagnosed one or more potential failures. The system 100 can include one or more global position system (GPS) modules 106 that can be communicatively configured to transmit, to the one or more mobile computing devices, one or more maintenance facilities.
[0035] In an embodiment, the first information received can be fed into predictive model for enabling proactive maintenance operations through the one or more failure mode approaches. The one or more potential faults can include any or combination of fault codes and parametric values created in a moving locomotive with the electric locomotive brakes, and also the one or more potentials faults can be stored for later use. Table 1 illustrates exemplary parametric values:
SN Data Category IoT Parameter Name Signal name from Brake System Description
1 Brake Control data ABH_CAB1_CAN1 BH1C1Pdo1.AutBrake_pos DBC Handle position, Value between 0-120
2 Brake Control data IBH_CAB1_CAN1 BH1C1Pdo1.IndBrake_pos DBC Handle position, Value between 0-100
3 Brake Control data MV2_STATE EMISoPdo1.ByteValvole Energized / De-Energized Status
4 Brake Control data MV12_STATE IRVBcPdo2.ByteValvole Energized / De-Energized Status
5 Brake Control data ERT_PRES E2TBpPdo1.ERT EQUALIZING RESERVOIR PRESSURE - Pressure read by transducer ERT
6 Brake Control data BPT_PRES EMISoPdo1.BPT BRAKE PIPE PRESSURE - BP Pressure read by transducer BPT
7 Brake Control data BCT_PRES IRVBcPdo1.BCT BRAKE CYLINDER PRESSURE - Pressure read by transducer BCT
8 Brake Control data AIR_FLOW E2TBpPdo1.FLW AIR FLOW - Pressure read by transducer FLT
9 Brake Control data MRT_PRES E2TBpPdo1.MRT Main Reservoir Pressure - Read By MR transducer
10 Brake Control data PIT_PRES IRVBcPdo1.PIT_BC PI Transducer Pressure

Table 1
Table 2 illustrate exemplary faults codes:
SN Fault Code Type Name Description Effect of this Failure
1 F002 Major PIT_S_FAIL_CNTRL Failure of both PIT and Output Transducer (BCT or BPT in Backup) System will not be able to read the pilot pressure (PIT) and the corresponding BC pressure (BCT) or BP pressure (BPT2) in case of Redundancy mode while DBV failure. In case of normally running condition, PIT & BCT signal loss could be considered as I2RV CTRL failure and can be managed by I2RV MULTI. Whereas, during redundancy mode, loss of PIT & BPT2 could be managed by sensing BP pressure through BPT available in EM-ISO.
2 F013 Major MRE_FAIL Failure of MREQ Transducer in I2RV MU MREQ pressure could not be measured. Could not be detected in case of train parting off.
3 F017 Major EV4_SHORT_DBV EV4 Magnet Valve Short Circuit in DBV Not able to energize MV3 EP Valve in ISO valve, BP could not be isolated from DBV during Emergency braking. May increase Emergency stopping timing and distance
4 F028 Major EV3_OPEN_I2RV_MU EV3 Magnet Valve Open Circuit in I2RV CNTRL Not able to energize MV16 EP Valve in MU, BCEQ could not be generated.
5 F032 Major EV3_SHORT_I2RV_MU EV3 Magnet Valve Short Circuit in I2RV MU Not able to energize MV16 EP Valve in MU, BCEQ could not be generated.
6 F035 Major EV2_OPEN_EM-ISO EV2 Magnet Valve Open Circuit in EM-ISO Not able to energize MV8 EP Valve in EM-ISO, not possible to connect CTRL with DBV through PV8 during DBV failure for BP control.
7 F036 Major EV3_OPEN_EM-ISO EV3 Magnet Valve Open Circuit in EM-ISO Not able to energize MV2 EP Valve in EM-ISO, Software driven Emergency braking not possible.
8 F038 Major EV2_SHORT_EM-ISO EV2 Magnet Valve Short Circuit in EM-ISO Not able to energize MV8 EP Valve in EM-ISO, not possible to connect CTRL with DBV through PV8 during DBV failure for BP control.
9 F039 Major EV3_SHORT_EM-ISO EV3 Magnet Valve Short Circuit in EM-ISO Not able to energize MV2 EP Valve in EM-ISO, Software driven Emergency braking not possible.
10 F048 Major EMG_CHAIN Failure of BP not dropping after activation of MV2 in EM-ISO Software driven Emergency braking will not be applied
Table 2

In an embodiment, the system 100 can be operatively configured with a database configured to store the diagnosed one or more potential failures. The database can be but is not limited to a local memory or a cloud server. The diagnosed data can be stored in the database through a global system for mobiles (GSM) Module 112 using mobile network.
[0036] FIG. 2 illustrates an exemplary representation of a module diagram of the system for monitoring electric locomotive brakes, in accordance with an embodiment of the present disclosure.
[0037] As illustrated, module diagram 200 of the system 102 can comprise one or more processor(s) 202. The one or more processor(s) 202 can be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, logic circuitries, and/or any devices that manipulate data based on operational instructions. Among other capabilities, one or more processor(s) 202 are configured to fetch and execute computer-readable instructions stored in memory 204 of the system 102. The memory 204 can store one or more computer-readable instructions or routines, which can be fetched and executed to create or share the data units over a network service. The memory 204 can comprise any non-transitory storage device including, for example, volatile memory such as RAM, or non-volatile memory such as EPROM, flash memory, and the like.
[0038] System 102 can also comprise an interface(s) 206. The interface(s) 206 can comprise a variety of interfaces, for example, interfaces for data input and output devices referred to as I/O devices, storage devices, and the like. The interface(s) 206 can facilitate communication of system 102. The interface(s) 206 can also provide a communication pathway for one or more components of the system 102. Examples of such components include, but are not limited to, processing engine(s) 208 and data 210. For example,
[0039] The processing engine(s) 208 can be implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the processing engine(s) 208. In the examples described herein, such combinations of hardware and programming can be implemented in several different ways. For example, the programming for the processing engine(s) 208 can be processor-executable instructions stored on a non-transitory machine-readable storage medium and the hardware for the processing engine(s) 208 can comprise a processing resource (for example, one or more processors), to execute such instructions. In the present examples, the machine-readable storage medium can store instructions that, when executed by the processing resource, implement the processing engine(s) 208. In such examples, system 102 can comprise the machine-readable storage medium storing the instructions and the processing resource to execute the instructions, or the machine-readable storage medium can be separate but accessible to system 102 and the processing resource. In other examples, the processing engine(s) 208 can be implemented by electronic circuitry.
[0040] The data 210 can comprise data that is either stored or generated as a result of functionalities implemented by any of the components of the processing engine(s) 208 or the system 102. The system can include a receiving module 212 that can be operatively configured with the electric locomotive brakes. The receiving module 212 can be configured to receive the first information.
[0041] The system 100 can further include a diagnosing module 214 that can be operatively configured with the receiving module 212. The diagnosing module 214 can be configured to diagnose one or more potential failures of the locomotive brakes in future.
[0042] The system 100 can further include a transmitting module 216 that can be operatively configured with the diagnosing module 214 and one or more mobile computing devices associated with locomotive.
[0043] In an embodiment, the system can be configured to receive the first infromation, segregate it, cleanse it, and store it in the database in a structured manner. Archiving rules can be written to archive older data into local storage. Data archiving is the process of moving data that is no longer actively used to a separate storage device for long-term retention. Archive data consists of older data that remains important to the organization or must be retained for future reference or regulatory compliance reasons. Users can access the data via a dashboard visualization on the one or moe mobile computing devices, with the ability to view data, download it, and get alerts.
[0044] In an embodiment, machine learning model can be developed from the FMECA analysis and can be implemented to the cloud server based on the failure mode approach used for diagnosing failures and predicting them. The outcomes from the machine learning model can be delivered to an application that can be residing in the one or more mobile computing devices or web. The application can make insights and analyses accessible on the online platform. Streaming analytics can be used to integrate rules developed using parametric values. This can result in alerts and notifications being delivered to the application, which can send the SMS and email to notification hub.
[0045] FIG. 3 illustrates a method for monitoring electric locomotive brakes, in accordance with an embodiment of the present disclosure.
[0046] As illustrated, in step 302, a method 300 for monitoring electric locomotive brakes can include receiving, by a processor, a first information pertaining to a health condition of the electric locomotive brakes from the electric locomotive brakes.
[0047] In step 304, the method 300 further includes diagnosing, by the processor, one or more potential failures of the electric locomotive brakes by applying a plurality of failure mode approaches on the received first information.
[0048] In step 306, the method 300 includes transmitting, by the processor, a notification to one or more mobile computing devices associated with the electric locomotive brakes based on the diagnosed one or more potential failures.
[0049] FIG. 4 illustrates an exemplary computer system to implement the proposed system, in accordance with an embodiment of the present disclosure.
[0050] As illustrated, a computer system can include an external storage device 410, a bus 420, a main memory 430, a read-only memory 440, a mass storage device 450, a communication port 460, and a processor 470. A person skilled in the art will appreciate that computer system can include more than one processor and communication ports. Examples of processor 470 include, but are not limited to, an Intel® Itanium® or Itanium 2 processor(s), or AMD® Opteron® or Athlon MP® processor(s), Motorola® lines of processors, FortiSOC™ system on a chip processors or other future processors. Processor 470 can include various modules associated with embodiments of the present invention. Communication port 460 can be any of an RS-232 port for use with a modem-based dialup connection, a 10/100 Ethernet port, a Gigabit or 10 Gigabit port using copper or fiber, a serial
port, a parallel port, or other existing or future ports. Communication port 460 can be chosen depending on a network, such a Local Area Network (LAN), Wide Area Network (WAN), or any network to which computer system connects.
[0051] Memory 430 can be Random Access Memory (RAM), or any other dynamic storage device commonly known in the art. Read only memory 440 can be any static storage device(s) e.g., but not limited to, a Programmable Read Only Memory (PROM) chips for storing static information e.g., start-up or BIOS instructions for processor 470. Mass storage 450 can be any current or future mass storage solution, which can be used to store information and/or instructions. Exemplary mass storage solutions include, but are not limited to, Parallel Advanced Technology Attachment (PATA) or Serial Advanced Technology Attachment (SATA) hard disk drives or solid-state drives (internal or external, e.g., having Universal Serial Bus (USB) and/or Firewire interfaces), e.g. those available from Seagate (e.g., the Seagate Barracuda 7112 family) or Hitachi (e.g., the Hitachi Deskstar 7K1000), one or more optical discs, Redundant Array of Independent Disks (RAID) storage, e.g. an array of disks (e.g., SATA arrays), available from various vendors including Dot Hill Systems Corp., LaCie, Nexsan Technologies, Inc. and Enhance Technology, Inc.
[0052] Bus 420 communicatively couple’s processor(s) 470 with the other memory, storage and communication blocks. Bus 420 can be, e.g. a Peripheral Component Interconnect (PCI) / PCI Extended (PCI-X) bus, Small Computer System Interface (SCSI), USB or the like, for connecting expansion cards, drives and other subsystems as well as other buses, such a front side bus (FSB), which connects processor 470 to software system.
[0053] Optionally, operator and administrative interfaces, e.g. a display, keyboard, and a cursor control device, can also be coupled to bus 420 to support direct operator interaction with computer system. Other operator and administrative interfaces can be provided through network connections connected through communication port 460. External storage device 410 can be any kind of external hard-drives, floppy drives, IOMEGA® Zip Drives, Compact Disc - Read Only Memory (CD-ROM), Compact Disc - Re-Writable (CDRW), Digital Video Disk - Read Only Memory (DVD-ROM). Components described above are meant only to exemplify various possibilities. In no way should the aforementioned
exemplary computer system limits the scope of the present disclosure
[0054] Moreover, in interpreting the specification, all terms should be interpreted in the broadest possible manner consistent with the context. In particular, the terms “comprises” and “comprising” should be interpreted as referring to elements, components, or steps in a non-exclusive manner, indicating that the referenced elements, components, or steps may be present, utilized, or combined with other elements, components, or steps that are not expressly referenced. Where the specification claims refer to at least one of something selected from the group consisting of A, B, C ….and N, the text should be interpreted as requiring only one element from the group, not A plus N, or B plus N, etc.
[0055] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions, or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.

ADVANTAGES OF THE INVENTION
[0056] The proposed invention provides a system for monitoring electric locomotive brakes, which is capable of spotting impending failure, so maintenance can be proactively scheduled before the failure occurs.
[0057] The proposed invention provides a system for monitoring electric locomotive brakes, which reduces any down time possibility due to any potential failure.
[0058] The proposed invention provides a system for monitoring electric locomotive brakes, which is simple and easy to use.
, Claims:1. A system for monitoring electric locomotive brakes, the system comprising:
a processor, communicatively coupled with the electric locomotive brakes, configured to execute a set of instructions, stored in a memory, which instructions on execution causes the system to:
receive, from the electric locomotive brakes, a first information pertaining to a health condition of the electric locomotive brakes,
diagnose, based on the first information, one or more potential failures of the electric locomotive brakes by applying a plurality of failure mode approaches on the received first information, and
transmit, based on the diagnosed one or more potential failures, a notification to one or more mobile computing devices associated with the electric locomotive brakes.
2. The system as claimed in claim 1, wherein the system comprises a global position system (GPS) module communicatively configured to transmit, to the one or more mobile computing devices, one or more maintenance facilities.
3. The system as claimed in claim 1, wherein the first information received is fed into predictive model for enabling proactive maintenance operations through the one or more failure mode approaches.
4. The system as claimed in claim 1, wherein the one or more potential faults comprises any or combination of fault codes and parametric values created in a moving locomotive with the electric locomotive brakes.
5. The system as claimed in claim 1, wherein the system is configured with a database configured to store the diagnosed one or more potential failures.
6. A method for monitoring electric locomotive brakes, the method comprising:
receiving, by a processor, a first information pertaining to a health condition of the electric locomotive brakes from the electric locomotive brakes;
diagnosing, by the processor, one or more potential failures of the electric locomotive brakes by applying a plurality of failure mode approaches on the received first information; and
transmitting, by the processor, a notification to one or more mobile computing devices associated with the electric locomotive brakes based on the diagnosed one or more potential failures.