Fault diagnosis of electric power systems based on fuzzy Petri nets. Sun, J., Qin, S., & Song, Y. IEEE Transactions on Power Systems, 19(4):2053–2059, November, 2004. Conference Name: IEEE Transactions on Power Systemsdoi abstract bibtex 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.
@article{sun_fault_2004,
title = {Fault diagnosis of electric power systems based on fuzzy {Petri} nets},
volume = {19},
issn = {1558-0679},
doi = {10.1109/TPWRS.2004.836256},
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.},
number = {4},
journal = {IEEE Transactions on Power Systems},
author = {Sun, Jing and Qin, Shi-Yin and Song, Yong-Hua},
month = nov,
year = {2004},
note = {Conference Name: IEEE Transactions on Power Systems},
keywords = {Circuit breakers, Circuit faults, Electric power system (EPS), Electrical fault detection, Fault diagnosis, Fuzzy systems, Petri nets, Power system modeling, Power system protection, Power system relaying, Protective relaying, diagnostics, fault diagnosis, fuzzy Petri nets (FPN), petri net},
pages = {2053--2059},
}
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