红水河2024，Vol.43Issue(1)：96-101,6.DOI:10.3969/j.issn.1001-408X.2024.01.018
基于改进秃鹰算法优化LSSVM的变压器故障诊断
Transformer Fault Diagnosis Based on LSSVM Optimized by Improved Bald Eagle Search Algorithm
段洁 1伍瑞泽 1尤敬尧 1朱戈2
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
- 2. 雅砻江流域水电开发有限公司, 四川 成都 610056
- 折叠
摘要
Abstract
In order to improve the accuracy of transformer fault diagnosis,a transformer fault diagnosis method based on improved bald eagle search(IBES)algorithm optimized least squares support vector machine(LSSVM)is proposed.The gaussian-cauchy mutation operator is used to mutate the optimal bald eagle individual,so that the IBES algorithm can be locally optimal in time,and the convergence accuracy of the IBES algorithm is improved.IBES algorithm is used to optimize the kernel parameters and penalty parameters of LSSVM,and a transformer fault diagnosis model based on IBES-LSSVM is established.The simulation experiments are compared with BES-LSSVM,GWO-SVM and GA-BP models.The results show that the diagnostic accuracy of IBES-LSSVM model is 98.33%,which is 3.50%,7.27%and 9.26%higher than that of the above comparison model,and the calculation time is the shortest,which verifies the correctness and practicability of the transformer fault diagnosis method proposed in this paper.关键词
变压器/故障诊断/改进秃鹰算法/最小二乘支持向量机/高斯-柯西变异Key words
transformer/fault diagnosis/improve bald eagle search algorithm/least squares support vector machine/gaussian-cauchy mutation分类
信息技术与安全科学引用本文复制引用
段洁,伍瑞泽,尤敬尧,朱戈..基于改进秃鹰算法优化LSSVM的变压器故障诊断[J].红水河,2024,43(1):96-101,6.
