Method And System For Managing Asset Performance

Abstract: A method and system for managing asset performance is disclosed that includes receiving one or more real-time data and asset-type corresponding at least one asset during an operation of the asset. Upon determination of an absence of a validated historical data corresponding to the asset, a training data is generated based on a set of libraries corresponding to the asset. The set of libraries correspond to a pre-defined data template for the asset-type. The training data is generated by identifying the set of libraries from a library database based on the asset-type or by customizing one or more pre-defined data templates corresponding to the set of libraries. Alerts corresponding to a future anomaly are determined based on the training data using first machine learning models. Further, one or more corrective actionable are generated corresponding to the alerts. [To be published with FIG. 1]

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