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Fault Diagnosis Method of Circuit Breakers Based on Weighted Fuzzy Petri Nets
| Content Provider | Scilit |
|---|---|
| Author | Zhang, Xiaotong Chen, Qing Sun, Mengxuan Huang, Wudi Gao, Wangyuan |
| Copyright Year | 2019 |
| Description | Journal: Iop Conference Series: Materials Science and Engineering 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. |
| Related Links | https://iopscience.iop.org/article/10.1088/1757-899X/486/1/012101/pdf |
| ISSN | 17578981 |
| e-ISSN | 1757899X |
| DOI | 10.1088/1757-899x/486/1/012101 |
| Journal | Iop Conference Series: Materials Science and Engineering |
| Issue Number | 1 |
| Volume Number | 486 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2019-06-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Materials Science and Engineering Industrial Engineering Circuit Breaker |
| Content Type | Text |
| Resource Type | Article |
