General Electric Company

Oliver Baptista

Ansh Kapil

Sundeep R Patil

Lutter Michael

Martin Kleinsteuber

Alexander Sagel

According to some embodiments, a system and method are provided to classify an anomaly. The method comprises receiving, from an anomaly detection system, time-series data that comprises one or more anomalies. The time-series data is grouped into a plurality of groups based on a scale range. For each group of the plurality of groups, statistical features are extracted from the time-series data. The extracted statistical features associated with the plurality of groups are combined and the one or more anomalies are classified based on the combined extracted statistical features.

Anomaly classifier

According to some embodiments, a system and method are provided to receive a first plurality of data from a machine associated with a first time period. A normal operation of the machine is automatically determined based on the first plurality of data. A second plurality of data may be received from the machine associated with a second time period. An anomaly in the second plurality of data is determined.

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Garching, Germany

Oliver Baptista