Invention Grant
- Patent Title: Failure prediction using gradient-based sensor identification
-
Application No.: US16816752Application Date: 2020-03-12
-
Publication No.: US11604934B2Publication Date: 2023-03-14
- Inventor: Masanao Natsumeda , Wei Cheng , Haifeng Chen , Yuncong Chen
- Applicant: NEC Laboratories America, Inc.
- Applicant Address: US NJ Princeton
- Assignee: NEC Laboratories America, Inc.
- Current Assignee: NEC Laboratories America, Inc.
- Current Assignee Address: US NJ Princeton
- Agent Joseph Kolodka
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06N3/084 ; G06N3/04 ; G06N3/063

Abstract:
Methods and systems for predicting failure in a cyber-physical system include determining a prediction index based on a comparison of input time series, from respective sensors in a cyber-physical system, to failure precursors. A failure precursor is detected in the input time series, responsive to a comparison of the prediction index to a threshold. A subset of the sensors associated with the failure precursor is determined, based on a gradient of the prediction index. A corrective action is performed responsive to the determined subset of sensors.
Public/Granted literature
- US20200380295A1 FAILURE PREDICTION USING GRADIENT-BASED SENSOR IDENTIFICATION Public/Granted day:2020-12-03
Information query