METHODS OF DETECTING ANOMALOUS OPERATION OF INDUSTRIAL SYSTEMS AND RESPECTIVE CONTROL SYSTEMS, AND RELATED SYSTEMS AND ARTICLES OF MANUFACTURE

A method of detecting an operational anomaly of an industrial system can include receiving operational values for a plurality of process parameters from an industrial system at a localized anomaly detection system, wherein the plurality of process parameters, accessing a machine learning model store...

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Bibliographic Details
Main Authors COBLE, Jamie, Baalis, ZHANG, Fan
Format Patent
LanguageEnglish
French
German
Published 28.09.2022
Subjects
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
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Summary:A method of detecting an operational anomaly of an industrial system can include receiving operational values for a plurality of process parameters from an industrial system at a localized anomaly detection system, wherein the plurality of process parameters, accessing a machine learning model stored in a non-volatile memory system operating within the localized anomaly detection system, to determine predicted values for the process parameters based on the operational values of the process parameters received from the industrial system, and determining residual values for the process parameters, each representing a difference between a respective one of the predicted values and a respective one of the operational values.
Bibliography:Application Number: EP20200900322