NDLI: Fault diagnosis of electric power systems based on fuzzy Petri nets

Content Provider	IEEE Xplore Digital Library
Author	Jing Sun Shi-Yin Qin Yong-Hua Song
Copyright Year	1969
Abstract	In this paper, Fuzzy Petri Nets (FPN) is used as a modeling tool to build fault diagnosis models aimed to accurately diagnose faults when some incomplete and uncertain alarm information of protective relays and circuit breakers is detected. In order to understand the significance of fault diagnosis models more conveniently, the definition and structure of FPNs are necessarily introduced at first. Then, models of fault diagnosis based on FPN are built, and their corresponding logical testifications are carried out. Finally, the validity and feasibility of this method is illustrated by simulation examples. It is shown from seven cases that the faulted system elements can be diagnosed correctly by use of these models, and a satisfying result can also be achieved even in the situation with large amount of incomplete and uncertain alarm information.
Sponsorship	IEEE Power Engineering Society
Starting Page	2053
Ending Page	2059
Page Count	7
File Size	351712
File Format	PDF
ISSN	08858950
Volume Number	19
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-11-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Fuzzy systems Petri nets Power system modeling Circuit faults Power system protection Power system relaying Protective relaying Circuit breakers Electrical fault detection fuzzy Petri nets (FPN) Electric power system (EPS) fault diagnosis
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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