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

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