Fault Diagnosis of Automobile Engine Based on Support Vector Machine

De Jun Wang; Meng Li; Chao Liu; Jia Nan Sun

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

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 80-81Fault Diagnosis of Automobile Engine Based on...

Fault Diagnosis of Automobile Engine Based on Support Vector Machine

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 80-81)

Pages:

1060-1064

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.80-81.1060

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Online since:

July 2011

Authors:

De Jun Wang, Meng Li, Chao Liu, Jia Nan Sun

Keywords:

ESP, Fault Diagnosis, Support Vector Machine (SVM)

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