Bayesian Network Based Fault Prognosis via Bond Graph Modeling of High-Speed Railway Traction Device
Joint Authors
Lu, Ningyun
Wu, Yunkai
Zhou, Yang
Jiang, Bin
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-20
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Reliability of the traction system is of critical importance to the safety of CRH (China Railway High-speed) high-speed train.
To investigate fault propagation mechanism and predict the probabilities ofcomponent-level faults accurately for a high-speed railway traction system, a fault prognosis approach via Bayesian network and bond graph modeling techniques is proposed.
The inherent structure of a railway traction system is represented by bond graph model, based on which a multilayer Bayesian network is developed for fault propagation analysis and fault prediction.
For complete and incomplete data sets, two different parameter learning algorithms such as Bayesian estimation and expectation maximization (EM) algorithm are adopted to determine the conditional probability table of the Bayesian network.
The proposed prognosis approach using Pearl’s polytree propagation algorithm for joint probability reasoning can predict the failure probabilities of leaf nodes based on the current status of root nodes.
Verification results in a high-speed railway traction simulation system can demonstrate the effectiveness of the proposed approach.
American Psychological Association (APA)
Wu, Yunkai& Jiang, Bin& Lu, Ningyun& Zhou, Yang. 2015. Bayesian Network Based Fault Prognosis via Bond Graph Modeling of High-Speed Railway Traction Device. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073519
Modern Language Association (MLA)
Wu, Yunkai…[et al.]. Bayesian Network Based Fault Prognosis via Bond Graph Modeling of High-Speed Railway Traction Device. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1073519
American Medical Association (AMA)
Wu, Yunkai& Jiang, Bin& Lu, Ningyun& Zhou, Yang. Bayesian Network Based Fault Prognosis via Bond Graph Modeling of High-Speed Railway Traction Device. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073519
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073519