SYSTEM AND METHOD FOR MONITORING HEALTH AND PREDICTING FAILURE OF AN ELECTRO-MECHANICAL MACHINE

SYSTEM AND METHOD FOR MONITORING HEALTH AND PREDICTING FAILURE OF AN ELECTRO-MECHANICAL MACHINE

This disclosure relates to a method and system for monitoring health and predicting failure of an electro-mechanical machine. In an embodiment, the method may include receiving a plurality of operational parameters with respect to the electro-mechanical machine and determining a set of features and...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: PAUL, Uddipan, MALHOTRA, Siddhant, CHATURVEDI, Ratheen, SHUKLA, Shailendra, DHAMELIYA, Mayur J, JADHAV, Santosh
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
CONTROL OR REGULATING SYSTEMS IN GENERAL
CONTROLLING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
FUNCTIONAL ELEMENTS OF SUCH SYSTEMS
MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS
PHYSICS
REGULATING
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Beschreibung
Zusammenfassung:This disclosure relates to a method and system for monitoring health and predicting failure of an electro-mechanical machine. In an embodiment, the method may include receiving a plurality of operational parameters with respect to the electro-mechanical machine and determining a set of features and a set of events, based on the plurality of operational parameters. The method may further include detecting one or more fault signatures associated the electro-mechanical machine based on at least one of the plurality of operational parameters, the set of features, or the set of events. The method may further include determining at least one of a time to the possible failure and a remaining useful life of the electro-mechanical machine based on at least one of the plurality of operational parameters, the set of features, the set of events, or the one or more fault signature, by using a hybrid machine learning model.