Research on Power System Fault Diagnosis Based on Bayesian Networks

DOI

10.2991/iccsee.2013.638How to use a DOI?

Keywords

power system, fault diagnosis, Bayesian network, structure learning, parameter learning.

Abstract

Aiming at the incompleteness and uncertainty of information existing in power system fault diagnosis, a new fault diagnosis approach based on Bayesian network is proposed in this paper. Through the Bayesian network of structure learning and parameter learning, a power system fault diagnosis model based on Bayesian network has been proposed. Conditional probability table describes the connection degree between various factors in quantity. Diagnostic results of instance proved the effectiveness and superiority of the proposed method.

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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TY  - CONF
AU  - Guofeng Yang
AU  - Qingming Xiao
AU  - Hong Ouyang
AU  - Jiakui Zhao
AU  - Tingshun Li
AU  - Jing Zhou
PY  - 2013/03
DA  - 2013/03
TI  - Research on Power System Fault Diagnosis Based on Bayesian Networks
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2552
EP  - 2555
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.638
DO  - 10.2991/iccsee.2013.638
ID  - Yang2013/03
ER  -