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

Abstract:

Article Preview

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

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:

Export:

Price:

$38.00

[1] Zhang Bing. Theory and Analysis Research of Monitoring and Detecting the Key Components of Train[Ph.D. ]. (in Chinese). Chengdu: Southwest Jiaotong University, (2007).

[2] Jun Fu, He Wei, et al. A Study of Fault Diagnosis Based on Bayesian Networks[J](in Chinese). Journal of Shanghai Maritime University. 2001, 22 (3) : 68-72.

[3] J Pearl Fusion. Propagation and Structuring in Belief Networks[J]. Artificial Intelligence, 1986, 29(3): 241-288.

DOI: https://doi.org/10.1016/0004-3702(86)90072-x

[4] Andrews J D, Morgan J M. Application of the Digraph Method of Fault Tree Construction to Process Plant[J]. Reliability Engineering and System Safety, 2003, 14: 85 -106.

DOI: https://doi.org/10.1016/0143-8174(86)90045-4

[5] Andrews J D, Brennan G. Application of the Digraph Method of Fault Tree Construction to a Complex Control Configuration[J]. Reliability Engineering and System Safety, 2002, 28: 357-384.

DOI: https://doi.org/10.1016/0951-8320(90)90120-c

[6] Kevin Patrick Murphy Dynamic Bayesian Networks: Representation, Inference and Learning. Computer Science[Ph.D. ]. University of California, Berkeley, (2002).

[7] Hua Bin. Application Research of Bayesian Networks into Coudition-Based Maintenance System of Hydroelectric Set[Ph.D. ](in Chinese). Wuhan: Huazhong University of Science and Technology, (2004).

Fetching data from Crossref.
This may take some time to load.