The Application of an Improved Fuzzy Petri Net Model in Fault Diagnosis of Breakers

DOI

10.2991/iccsae-15.2016.51How to use a DOI?

Keywords

Fuzzy petri net; Rough set theory; Fault diagnosis

Abstract

Fast development of smart grid has made it essential to promote the intelligent level of electrical equipment. As circuit breakers is an important kind of control and protection equipment in power system, its on-line monitoring and fault diagnosis are significant parts of electrical equipment intelligence. Traditional Petri net is used to establish graph-based models to detect faults while the application of fuzzy Petri net makes decision of complex faults more accurate.In this paper, fuzzy Petri net is combined with rough set theory which is utilized to simplify the diagnosis rules. The combination of the two algorithms can not only improve diagnosis efficiency quickly but also meet the demands of on-line fault diagnosis much better. The effectiveness of theproposed method is proved by satisfactory results of field experiments.

Copyright

© 2016, 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  - Qiuyao JI
AU  - Fei Mei
AU  - Fan Zuo
AU  - Yongzheng Dai
AU  - Yufeng Gu
AU  - Jianyong Zheng
PY  - 2016/02
DA  - 2016/02
TI  - The Application of an Improved Fuzzy Petri Net Model in Fault Diagnosis of Breakers
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 264
EP  - 269
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.51
DO  - 10.2991/iccsae-15.2016.51
ID  - JI2016/02
ER  -