Abstract
In this paper, a Principal Component Analysis (PCA) based Fault Detection and Isolation (FDI) method for nonlinear Electronic Throttle Control (ETC) system is presented. The proposed method introduces a novel configuration of PCA bases by computing the absolute value of weights. The fault can be detected if the Sum Square Error (SSE) distance exceeds its pre-defined threshold and the isolation of the detected fault is done under the minimum of the SSE distance. The PCA model is used to detect (offline and/or online) failure in the ETC from the old Normal Operation Condition (NOC) as well as to diagnose the cause of the failure. A set of faults with armature resistance, armature inductance are evaluated to demonstrate the performance and effectiveness of the proposed method.
Original language | English |
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Title of host publication | 2012 12th International Conference on Control, Automation and Systems |
Place of Publication | JeJu Island, South Korea |
Publisher | IEEE Xplore |
Pages | 808-813 |
Publication status | Published - 17 Oct 2012 |
Keywords
- Electronic Throttle Control
- Fault Detection and Isolation
- Principal Component Analysis
- Fault Injection