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Abstract

There is described a method and system for detecting an anomaly in data originating from a component used in an industrial process. The anomaly detection steps comprise: providing predictive models in which at least one of the predictive models corresponds to at least one operating mode from a plurality of operating modes of the component; obtaining operating data from the component, the operating data being indicative of a given operating mode from the operating modes; selecting at least one of the predictive models based on the given operating mode; generating estimated data using the selected at least one predictive model; comparing the operating data with the estimated data; and generating an alarm trigger when the comparison meets a given anomaly criteria thereby constituting the detection of the anomaly.

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