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Fault Diagnosis of Power Transformers Using Graph Convolutional Network

Wenlong Liao Dechang Yang Yusen Wang Xiang Ren

中国电机工程学会电力与能源系统学报（英文版）2021，Vol.7Issue(2)：241-249,9.

中国电机工程学会电力与能源系统学报（英文版）2021，Vol.7Issue(2)：241-249,9.DOI:10.17775/CSEEJPES.2020.04120

Fault Diagnosis of Power Transformers Using Graph Convolutional Network

Wenlong Liao ¹Dechang Yang ²Yusen Wang ³Xiang Ren⁴

作者信息

1. Department of Energy Technology,Aalborg Univer-sity,Aalborg 9220,Denmark
2. College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China
3. School of Electrical Engineering and Computer Science,KTH Royal Institute of Technology,Stockholm,SE-100 44,Sweden
4. North China Electric Power Research Institute Co.,Ltd.,Beijing 100045,China
折叠

摘要

关键词

Power transformer/fault diagnosis/graph convolutional network/similarity metrics

Key words

Power transformer/fault diagnosis/graph convolutional network/similarity metrics

引用本文复制引用

Wenlong Liao,Dechang Yang,Yusen Wang,Xiang Ren..Fault Diagnosis of Power Transformers Using Graph Convolutional Network[J].中国电机工程学会电力与能源系统学报（英文版）,2021,7(2):241-249,9.

基金项目

This manuscript is supported by the China Scholarship Council.The authors are very grateful for their help. （）

中国电机工程学会电力与能源系统学报（英文版）

OACSCDCSTPCDEISCI

ISSN：2096-0042

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