Title :
Application of support vector machines to sensor fault diagnosis in ESP system
Author :
Zheng, Saui-Bo ; Zheng-Zhi Han ; Tang, Hou-Jun ; Zhang, Yong
Author_Institution :
Sch. of Electr. & Inf. Eng., Shanghai Jiao Tong Univ., China
Abstract :
Sensor prediction models in ESP system are constructed with support vector machines (SVMs) regression algorithm. Thus SVMs are used as residual generator via analytical redundancy of the sensors. DAGSVM classification algorithm fulfills sensor fault isolation. The research´s result shows the application of SVMs to sensor fault diagnosis in ESP system is effective and feasible.
Keywords :
automobiles; control engineering computing; fault diagnosis; sensors; stability; support vector machines; time-varying systems; ESP system; electronic stability program; residual generator; sensor fault diagnosis; sensor fault isolation; support vector machines regression algorithm; Automotive engineering; Electrostatic precipitators; Fault diagnosis; Mechanical sensors; Redundancy; Safety; Sensor systems; Sensor systems and applications; Stability; Support vector machines;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1380354
