红水河2024，Vol.43Issue(4)：132-137,144,7.DOI:10.3969/j.issn.1001-408X.2024.04.029
基于改进蜣螂算法优化LSSVM的断路器故障诊断方法研究
Fault Diagnosis Method of Circuit-Breaker Based on LSSVM Optimized by Improved Dung Beetle Optimizer
尤敬尧 1段洁 1伍瑞泽1
作者信息
- 1. 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 make the fault diagnosis results of circuit-breakers more reliable,a fault diagnosis method of circuit-breakers based on improved dung beetle optimizer(IDBO)optimized least squares support vector machine(LSSVM)is proposed.In order to improve the optimization effect of IDBO,the dung beetle optimization algorithm is improved by adopting the strategies of Circle chaotic mapping,Levy flight and T distribution disturbance.IDBO is used to search the optimal value of the key parameters of LSSVM,and the fault diagnosis model of circuit-breaker based on IDBO-LSSVM is established,and the simulation experiment analysis is carried out through an example.The results show that the average correct rates of IDBO-LSSVM model,DBO-LSSVM model and GA-BPNN model in fault diagnosis of circuit-breakers are 97.44%,91.25%and 90.00%,respectively.The IDBO-LSSVM model has higher diagnostic accuracy,which verifies the superiority of the proposed fault diagnosis method for circuit breakers.关键词
断路器/故障诊断/最小二乘支持向量机/改进蜣螂优化算法Key words
circuit-breaker/fault diagnosis/least squares support vector machine/improving dung beetle optimizer分类
信息技术与安全科学引用本文复制引用
尤敬尧,段洁,伍瑞泽..基于改进蜣螂算法优化LSSVM的断路器故障诊断方法研究[J].红水河,2024,43(4):132-137,144,7.
