Proceedings of the 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)

A Novel Causal Model Based Distributed Fault Detection Method For Locomotive Electric Traction System

Authors
Shu Cheng, Te-fang Chen, Wei Li, Rong-jun Ding
Corresponding Author
Shu Cheng
Available Online July 2013.
DOI
https://doi.org/10.2991/cse.2013.53How to use a DOI?
Keywords
distributed system; fault diagnosis; causal Model; locomotive electric traction system
Abstract
Aimed on the massive computation burden, lack of precise fault mathematic model and uncertainty of analysis method on subsystem parasitic parameters, a novel distributed fault diagnosis Method based on causal Model has been proposed. By the way of splitting entire system into several causal independent subsystems, the fault diagnosis can be divided, thus proper diagnosis method can be applied to each subsystem individually, without consideration of system frame and parameters. This Method lowers the complexity of diagnosis so as to enhance the reliability. By using this method, different diagnosis technology can be used on each subsystem; the accuracy of diagnosis has also been improved. In addition, this method can diagnosis pseudo-fault phenomenon caused by the coupling relationship between subsystems. The prototype has been applied to electrical locomotive HXD30132I .
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Proceedings
2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
July 2013
ISBN
978-90786-77-70-3
ISSN
1951-6851
DOI
https://doi.org/10.2991/cse.2013.53How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Shu Cheng
AU  - Te-fang Chen
AU  - Wei Li
AU  - Rong-jun Ding
PY  - 2013/07
DA  - 2013/07
TI  - A Novel Causal Model Based Distributed Fault Detection Method For Locomotive Electric Traction System
BT  - 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)
PB  - Atlantis Press
SP  - 235
EP  - 240
SN  - 1951-6851
UR  - https://doi.org/10.2991/cse.2013.53
DO  - https://doi.org/10.2991/cse.2013.53
ID  - Cheng2013/07
ER  -