Fault Diagnosis of Automobile Engine Based on Support Vector Machine

被引：3
|
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
收藏
页码：1060 / 1064
页数：5
相关论文
共 50 条
  • [41] Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine
    Widodo, Achmad
    Kim, Eric Y.
    Son, Jong-Duk
    Yang, Bo-Suk
    Tan, Andy C. C.
    Gu, Dong-Sik
    Choi, Byeong-Keun
    Mathew, Joseph
    EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (03) : 7252 - 7261
  • [42] Fault Diagnosis of Valve Train of Internal Combustion Engine based on the Artificial Neural Network and Support Vector Machine
    Bi Fengrong
    Song Zhen
    ADVANCED DESIGNS AND RESEARCHES FOR MANUFACTURING, PTS 1-3, 2013, 605-607 : 729 - 733
  • [43] The Fault Diagnosis of Elevator Based on the Autoregressive Model And the Support Vector Machine
    Xu, Shan
    Huang, YiJian
    FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE III, PTS 1 AND 2, 2013, 271-272 : 1689 - 1694
  • [44] Fault diagnosis of power electronic circuits based on support vector machine
    Liang Yu
    Wang Yigang
    Wang Na
    PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 5, 2007, : 535 - +
  • [45] Fault Diagnosis based on Signed Directed Graph and Support Vector Machine
    Han, Xiaoming
    Lv, Qing
    Xie, Gang
    Zheng, Jianxia
    FOURTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2011): MACHINE VISION, IMAGE PROCESSING, AND PATTERN ANALYSIS, 2012, 8349
  • [46] Gear Fault Diagnosis Based on Rough Set and Support Vector Machine
    TIAN Huifang SUN Shanxia School of Mechanical and Electrical Engineering
    武汉理工大学学报, 2006, (S3) : 1046 - 1051
  • [47] Gear fault diagnosis based on rough set and support vector machine
    Tian, Huifang
    Sun, Shanxia
    Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of Technology, 2006, 28 (SUPPL. 1): : 1046 - 1051
  • [48] Bearings Fault Diagnosis based on Wavelet Analysis and Support Vector Machine
    Li, Xinli
    Yang, Xiao
    Yao, Wanye
    Wang, Jianming
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON CHEMICAL, MATERIAL AND FOOD ENGINEERING, 2015, 22 : 863 - 866
  • [49] Highly Accurate Gear Fault Diagnosis Based on Support Vector Machine
    Abdul, Zrar Kh
    Al-Talabani, Abdulbasit K.
    JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES, 2023, 11 (07) : 3565 - 3577
  • [50] Fault Diagnosis Model based on Support Vector Machine and Genetic Algorithm
    Niu, Wei
    Wang, Guoqing
    Zhai, Zhengjun
    Cheng, Juan
    MECHANICAL AND ELECTRONICS ENGINEERING III, PTS 1-5, 2012, 130-134 : 2535 - +
12345