Invention Application
- Patent Title: ANOMALY DETECTION SYSTEM AND METHOD FOR INDUSTRIAL ASSET
- Patent Title (中): 工业资产异常检测系统及方法
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Application No.: US14808402Application Date: 2015-07-24
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Publication No.: US20170024649A1Publication Date: 2017-01-26
- Inventor: Weizhong Yan , Lijie YU
- Applicant: General Electric Company
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06N99/00

Abstract:
Some embodiments are associated with a receipt, at a feature learning platform, of sensor data associated with normal operation of an industrial asset, the sensor data including values for a plurality of sensors over a period of time. The feature learning platform may extract a plurality of features via hierarchically deep learning, which may capture characteristics of normal operation of the industrial asset and provide the learned features to a classification modeling platform. The classification modeling platform may then create classification models utilizing the learned features, and the classification models may be executed to automatically identify a potential anomaly for an operating industrial asset.
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