Fault Diagnosis for Electrical Control System of Automobile Based on Support Vector Machine

Abstract:

This paper is to present a fault diagnosis method for electrical control system of automobile based on support vector machine. We collect the common fault states of electrical control system of automobile to analyze the fault diagnosis ability of electrical control system of automobile based on support vector machine. It can be seen that the accuracy of fault diagnosis for electrical control system of automobile by support vector machine is 92.31%; and the accuracy of fault diagnosis for electrical control system of automobile by BP neural network is 80.77%. The experimental results show that the accuracy of fault diagnosis for electrical control system of automobile of support vector machine is higher than that of BP neural network.

• Periodical: Applied Mechanics and Materials (Volume 666)
• Pages: 203-207
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.666.203
• Online since: October 2014
• Authors: Jian Hua Cao
• Keywords: Automobile, Electrical Control System, Fault Diagnosis, Support Vector Machine (SVM)

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