Transformer fault diagnosis method based on multiple-level denoising and recursive graph
Power System Intelligent Control and Data Analysis|更新时间:2026-03-09
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Transformer fault diagnosis method based on multiple-level denoising and recursive graph
“Experts have proposed a diagnostic method based on a combination of multiple denoising and recursive graphs to effectively reduce false alarm rates and achieve a diagnostic accuracy of 98.125% for transformer vibration signal faults, providing new ideas for power equipment fault diagnosis.”
BLASTINGVol. 48, Issue 2, Pages: 59-67(2026)
作者机构:
1.国网浙江省电力有限公司杭州市余杭区供电公司,杭州 311100
2.杭州电力设备制造有限公司余杭群力成套;电气制造分公司,杭州 311100
3.国网浙江省电力有限公司杭州市临平区供电公司,杭州 311199
4.东北电力大学 机械工程学院,吉林 吉林 132012
作者简介:
基金信息:
Jilin Province Science and Technology Development Plan Project(20220508014RC)
ZHANG Ping,WU Zhang,LIU Feng,et al.Transformer fault diagnosis method based on multiple-level denoising and recursive graph[J].BLASTING,2026,48(02):59-67.