Patent ID: 7818276

Claim:
A method for detecting an anomaly in data originating from a component used in an industrial process, the method comprising steps of: 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; providing, for each one of said predictive models, anomaly signatures each representative of a first set of deviations from a respective one of the predictive models for a specific timestamp; obtaining operating data from the component, the operating data being indicative of a given operating mode from the operating modes; selecting one of the predictive models based on the given operating mode; generating an operating data signature by comparing the operating data with the selected predictive model, said operating signature being representative of a second set of deviations of said operating data from said selected predictive model for said specific timestamp; and generating an alarm trigger when the operating data signature matches one of the anomaly signatures associated with the selected predictive model, thereby constituting the detection of the anomaly; wherein at least one of the steps is performed by a processor.