吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (05): 1178-1183.doi: 10.7964/jdxbgxb201305005

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Fault detection and diagnosis of EMB sensor system based on SVR

WU Jian, ZHAO Yang, HE Rui   

  1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
  • Received:2012-10-24 Online:2013-09-01 Published:2013-09-01

Abstract:

In this paper the overall structure of Electromechanical Brake (EMB) is introduced;and the Support Vector Regression (SVR) is employed in the fault detection and diagnosis of the EMB sensors. First, the fault prediction model of the EMB sensors is built using SVR algorithm. Then, the residual sequences are generated from the redundancy information of the current sensor, force sensor and rotate speed sensor. Finally, the method is verified by experiments. Experiment results show that the proposed SVR algorithm can effectively detect the fault of the EMB sensor system that does consider the precise model of the system. The algorithm is applicable to complicated EMB systems.

Key words: vehicle engineering, electromechanical brake, sensor, support vector regression, fault diagnosis

CLC Number: 

  • U463.5

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