红水河2023，Vol.42Issue(6)：90-95,6.DOI:10.3969/j.issn.1001-408X.2023.06.018
基于改进探路者算法优化支持向量机的断路器故障诊断
Circuit Breaker Fault Diagnosis Based on Support Vector Machine Optimized by Improved Pathfinder Algorithm
何鑫 1段晨 1刘闯2
作者信息
- 1. 国网湖北省电力有限公司 黄石供电公司, 湖北 黄石 435002
- 2. 国网湖北省电力有限公司 荆门供电公司, 湖北 荆门 448001
- 折叠
摘要
Abstract
In order to improve the accuracy of circuit breaker fault diagnosis,the Pathfinder Algorithm(PFA)is improved by using Tent chaotic mapping and neighborhood mutation strategy.Then,the improved pathfinder algorithm(IPFA)is used to optimize the support vector machine(SVM),and a fault diagnosis method of circuit breaker based on IPFA optimized SVM is proposed.The eight characteristic quantities in the coil current waveform of the circuit breaker are taken as the support vectors,and the fault type of the circuit breaker is taken as the output,and the fault diagnosis model of the circuit breaker based on IPFA-SVM is established.Finally,the circuit breaker fault data is used for simulation analysis.The results show that only one error occurs when the IPFA-SVM model is used to diagnose the circuit breaker fault,and the diagnostic accuracy is as high as 98%.The diagnostic effect is better than that of other methods,which verifies the correctness and superiority of the circuit breaker fault diagnosis method proposed in this paper.关键词
断路器/故障诊断/改进探路者算法/支持向量机Key words
circuit breaker/fault diagnosis/improved pathfinder algorithm/support vector machine分类
信息技术与安全科学引用本文复制引用
何鑫,段晨,刘闯..基于改进探路者算法优化支持向量机的断路器故障诊断[J].红水河,2023,42(6):90-95,6.
