Fault Diagnosis Method of Vehicle Power System Using Bayesian Network

He Jia Li; Yan Wei Cheng; Cheng Yao; Hai Feng Xu; Zhao Yao; Chang Feng Qu

doi:10.4028/www.scientific.net/AMM.556-562.3134

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Fault Diagnosis Method of Vehicle Power System...

Fault Diagnosis Method of Vehicle Power System Using Bayesian Network

Abstract:

The fault diagnosis of vehicle power system that the structure and characteristics of components are complex, each module and internal modules exist coupling, cross-linked mutual relations and the uncertainties, the system status and working conditions are difficult to describe by precisely mathematical model, and test cost expensive, less fault samples. Thus its fault diagnosis is the decision problem of uncertain information in a small sample. it is proposed that combining multi-signal flow graph model with Bayesian network fault diagnosis method. The fault diagnosis model of power system and the corresponding Bayesian network structure are built, which achieve the fault diagnosis of power system, Diagnosis example shows that the method of the vehicle power has a higher failure troubleshooting capabilities of the system single and multiple faults.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

3134-3138

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.3134

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Online since:

May 2014

Authors:

He Jia Li*, Yan Wei Cheng, Cheng Yao, Hai Feng Xu, Zhao Yao, Chang Feng Qu

Keywords:

Bayesian Network (BN), Fault Diagnosis, Fault Sample, Multi-Signal Flow Graph Model, Vehicle Power System

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* - Corresponding Author

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