General Electric Company
SIGNATURE ENHANCEMENT FOR DEVIATION MEASUREMENT-BASED CLASSIFICATION OF A DETECTED ANOMALY IN AN INDUSTRIAL ASSET

Abstract:

A method of deviation measurement-based classification of an anomaly detected in an industrial asset includes accessing sensor data readings obtained at a monitored industrial asset, performing a temporal feature transformation technique on the accessed sensor data readings to create a set of transformed features for the accessed sensor data readings, calculating normalized features for the set of transformed features and corresponding accessed sensor data reading, constructing an anomaly model for the monitored industrial asset, the anomaly model selected from a group of possible anomaly models, each possible anomaly model based on a different training data set, training the anomaly model, testing the trained anomaly model, performing a sliding window feature extraction on the trained anomaly model, classifying the extracted features, and providing the feature classification to a user. A system and a non-transitory computer-readable medium are also disclosed.