东北电力技术2026，Vol.47Issue(8)：22-27,6.
基于VMD-GJO-DBN的有载分接开关故障诊断方法
Fault Diagnosis Method for on Load Tap Changer Based on VMD-GJO-DBN
罗锋1
作者信息
- 1. 国网湖北省电力有限公司黄冈供电公司,湖北 黄冈 438000
- 折叠
摘要
Abstract
In order to improve the fault diagnosis accuracy of on load tap changer(OLTC)for transformers,it proposes an OLTC fault diagnosis method.Firstly,it extracts six feature quantities of OLTC operating stateusing variational mode decomposition(VMD)method.Secondly,with the six features as input and OLTC fault type as output,it uses the golden jackal optimization(GJO)algorithmto optimize the network parameters of deep belief networks(DBN).Finally,it constructs a GJO-DBN model and carries out the fault diagnosis of OLTC using the GJO-DBN model.The case analysis results show that the diagnostic accuracy of the GJO-DBN model is as high as 98.88％,and the average computation time is only 12.33 s.This model can not only improve the fault diagnosis accuracy of OLTC,but also shorten the calculation time,verifying the effectiveness of the proposed OLTC fault diagnosis method.关键词
有载分接开关/故障诊断/变分模态分解/深度信念网络/金豺优化算法Key words
OLTC/fault diagnosis/VMD/DBN/GJO algorithm分类
信息技术与安全科学引用本文复制引用
罗锋..基于VMD-GJO-DBN的有载分接开关故障诊断方法[J].东北电力技术,2026,47(8):22-27,6.
