PREDICTIVE MAINTENANCE OF INDUSTRIAL EQUIPMENT

Among other things, systems and techniques are described for predictive maintenance of industrial equipment. Sensor data is obtained, e.g., using sensor hubs that are configured to capture sensor data associated with one or more operating conditions of the industrial equipment. The sensor data is in...

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Bibliographische Detailangaben
Hauptverfasser: KAMBLE, Atish P, SWAROOP, Prem, BASKAR, Vijay Karthick, MOLLER, Nicholas, PATNALA, Sreedhar, DEV, Bodhayan, BUTEAU, Richard
Format: Patent
Sprache:eng ; fre ; ger
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Beschreibung
Zusammenfassung:Among other things, systems and techniques are described for predictive maintenance of industrial equipment. Sensor data is obtained, e.g., using sensor hubs that are configured to capture sensor data associated with one or more operating conditions of the industrial equipment. The sensor data is input to a trained machine learning model. The trained machine learning model includes a physics based feature extraction model and a deep learning based automatic feature extraction model. Operating conditions associated with operation of the industrial equipment are predicted using the trained machine learning models.