FIELD: physics.
SUBSTANCE: invention can be used to identify and classify anomalies in operation of a park or a group of installations. Essence of the invention consists in the fact that performing the model training and setting stage, intended for the configuration parameters setting, which can be performed in the autonomous mode, and a step of calculating new input data in online mode, which is based on recognized data and extracted statistical characteristics. In order to assess the risk that an anomaly may cause any event, which requires performance of maintenance operation on one or more assets of the park, identification and classification of anomalies should be performed, thus calculating a risk assessment.
EFFECT: providing the possibility of obtaining accurate forecasts for equipment maintenance.
18 cl, 5 dwg
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Authors
Dates
2024-10-31—Published
2021-03-03—Filed