Research of Fault Diagnosis Based on Bayesian Network for Air Brake System

Abstract:

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A method for solving the fault diagnosis problem of air brake system based on probabilistic approach is presented. The fault diagnosis model based on Bayesian network was built for the uncertainty characteristic of fault in the air brake system. Through evaluating the characteristic of Bayesian networks in the diagnosis inference and model expression, it is demonstrated that this method can solve the uncertain problems in fault diagnosis. The test result has shown that the Bayesian network model is effective in fault diagnosis of the air brake system.

Info:

Periodical:

Advanced Materials Research (Volumes 143-144)

Edited by:

H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong

Pages:

629-633

DOI:

10.4028/www.scientific.net/AMR.143-144.629

Citation:

S. T. Zhang "Research of Fault Diagnosis Based on Bayesian Network for Air Brake System", Advanced Materials Research, Vols. 143-144, pp. 629-633, 2011

Online since:

October 2010

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$35.00

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