Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

A proactive system reliability analysis framework of electric vehicles

Authors
Xiaopin Zhong, Wenwen Zeng, Li Qiu
Corresponding Author
Xiaopin Zhong
Available Online March 2013.
DOI
10.2991/iccsee.2013.334How to use a DOI?
Keywords
proactive system reliability analysis, graphical model, electronic control system, electric vehicle
Abstract

System reliability analysis (SRA) is a core support technique of many applications in the entire product lifecycle of electric vehicle (EV). However, the large-scale industrialization needs an accurate SRA due to the features of complexity, coupling and unknown noise of an EV. Besides component failure, the latent failure of electrical motor, electrical control and other subsystems is more originated from the uncertain dependency between components and the uncertain logical structures of failure. In this article, a proactive framework is presented to perform SRA on EVs. This framework is theoretically based on the probabilistic graphical model. Failure logical structures can then be recognized by a structure learning process of graphical model. Other SRA tasks and fault diagnosis are converted to the problems of probabilistic inference with uncertainty. Simulation examples demonstrate the effectiveness of our proposed framework.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
10.2991/iccsee.2013.334
ISSN
1951-6851
DOI
10.2991/iccsee.2013.334How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaopin Zhong
AU  - Wenwen Zeng
AU  - Li Qiu
PY  - 2013/03
DA  - 2013/03
TI  - A proactive system reliability analysis framework of electric vehicles
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1333
EP  - 1336
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.334
DO  - 10.2991/iccsee.2013.334
ID  - Zhong2013/03
ER  -