Invention Application
US20170024649A1 ANOMALY DETECTION SYSTEM AND METHOD FOR INDUSTRIAL ASSET 审中-公开
工业资产异常检测系统及方法

  • 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
  • Application No.: US14808402
    Application Date: 2015-07-24
  • Publication No.: US20170024649A1
    Publication Date: 2017-01-26
  • Inventor: Weizhong YanLijie YU
  • Applicant: General Electric Company
  • Main IPC: G06N5/04
  • IPC: G06N5/04 G06N99/00
ANOMALY DETECTION SYSTEM AND METHOD FOR INDUSTRIAL ASSET
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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