Title :
Principal Components Analysis based Fault Detection and Isolation for Electronic Throttle Control system
Author :
Hamadache, Moussa ; Lee, Dongik
Author_Institution :
Sch. of Electron. Eng., Kyungpook Nat. Univ., Deagu, South Korea
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.
Keywords :
failure analysis; fault diagnosis; internal combustion engines; nonlinear control systems; principal component analysis; NOC; PCA model; SSE distance; armature inductance; armature resistance; electronic throttle control system; failure cause diagnosis; fault detection; fault isolation; nonlinear ETC system; normal operation condition; offline failure; online failure; principal components analysis; sum square error distance; Control systems; Eigenvalues and eigenfunctions; Fault detection; Inductance; Principal component analysis; Resistance; Vectors; Electronic Throttle Control; Fault Detection and Isolation; Fault Injection; Principal Component Analysis;
Conference_Titel :
Control, Automation and Systems (ICCAS), 2012 12th International Conference on
Conference_Location :
JeJu Island
Print_ISBN :
978-1-4673-2247-8
