A Novel Causal Model Based Distributed Fault Detection Method For Locomotive Electric Traction System
Shu Cheng, Te-fang Chen, Wei Li, Rong-jun Ding
Available Online July 2013.
- https://doi.org/10.2991/cse.2013.53How to use a DOI?
- distributed system; fault diagnosis; causal Model; locomotive electric traction system
- 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 .
- 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 -