Fault Diagnosis of Automobile Engine Based on Support Vector Machine

被引：5

作者：

Wang Dejun ^{[1
]}

Li Meng ^{[1
]}

Liu Chao ^{[1
]}

Sun Jia'nan ^{[1
]}

机构：

[1] Jilin Univ, State Key Lab Automobile Dynam Simulat, Changchun 130025, Peoples R China

来源：

INFORMATION ENGINEERING FOR MECHANICS AND MATERIALS SCIENCE, PTS 1 AND 2 | 2011年 / 80-81卷

关键词：

Support Vector Machine; Fault Diagnosis; ESP;

D O I：

10.4028/www.scientific.net/AMM.80-81.1060

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

A Vehicle simulation model is built by AMESim software. During the Electronic Stability Program (ESP) running on, the cases of varieties about system variables are investigated based on the automobile dynamic model. Fault modes of actuators and sensors in ESP are built up. And data-fault is acquired. Support Vector Machine (SVM) based on classification is applied for fault diagnosis of the ESP system. The basic idea is to identify the information and classify new fault samples by using the trained SVM model. Finally, simulation examples are performed to verify the effectiveness of the proposed design.

引用

页码：1060 / 1064

页数：5

共 6 条

[1]

Dehui Wu, 2008, J VIBRATION TESTIN A, VA4, P338

[2]

Kuang M. L., 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251), P4538, DOI 10.1109/ACC.1999.786447

[3]

Li Yang, 2010, Proceedings 2010 Sixth International Conference on Natural Computation (ICNC 2010), P3397, DOI 10.1109/ICNC.2010.5583693

[4]

Liao Wei, 2010, 2010 2 INT C FUT COM, p91~94

[5] Using ENN-1 for fault recognition of automotive engine [J].

Wang, Meng-Hui ;

Chao, Kuei-Hsiang ;

Sung, Wen-Tsai ;

Huang, Guan-Jie .

EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (04) :2943-2947

[6] Fault diagnostics and fault tolerant control [J].

Zhou, DH ;

Frank, PM .

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1998, 34 (02) :420-427

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