Paper Title:
Research of Fault Diagnosis Based on Bayesian Network for Air Brake System
  Abstract

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
Authors
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Price
$32.00
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