Open AccessFault Diagnosis Method of Circuit Breakers Based on Weighted Fuzzy Petri Nets
Author(s) -
Xiaotong Zhang,
Qing Chen,
Mingxia Sun,
Wudi Huang,
Wangyuan Gao
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/486/1/012101
Subject(s) - circuit breaker , fault (geology) , transient recovery voltage , fuzzy logic , distribution board , computer science , petri net , process (computing) , engineering , electrical engineering , algorithm , voltage , artificial intelligence , power factor , seismology , constant power circuit , geology , operating system
The maintenance and self-healing of circuit breakers are very difficult when the fault diagnosis results of circuit breakers cannot cover all kinds of fault causes. This paper proposes a method for comprehensively diagnosing circuit breaker faults. The method simulates the action process of circuit breakers based on weighted fuzzy Petri nets and makes it feasible to infer circuit breaker fault causes from different aspects. The model shows the action sequence of the circuit breaker by associating the control mechanism, the operating mechanism, the transmission mechanism and the contact part of the circuit breaker, and each part of it is described with the corresponding abnormal signals of the circuit breaker stored in the substation end. Specific fault reasons of the circuit breaker can be inferred by considering the action sequence and the relationship between the abnormal information and fault causes. The results for some test cases show that this method can obtain the diagnosis results covering various possible fault causes.