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Detection and Classification of Transmission Line Transient Faults Based on Graph Convolutional Neural Network

Houjie Tong Robert C.Qiu Dongxia Zhang Haosen Yang Qi Ding Xin Shi

中国电机工程学会电力与能源系统学报（英文版）2021，Vol.7Issue(3)：456-471,16.

中国电机工程学会电力与能源系统学报（英文版）2021，Vol.7Issue(3)：456-471,16.DOI:10.17775/CSEEJPES.2020.04970

Detection and Classification of Transmission Line Transient Faults Based on Graph Convolutional Neural Network

Houjie Tong ¹Robert C.Qiu ¹Dongxia Zhang ²Haosen Yang ³Qi Ding ¹Xin Shi¹

作者信息

1. Department of Electrical Engineering,Center for Big Data and Artificial Intelligence,Shanghai Jiao Tong University,Shanghai 200240,China
2. School of Electronic Information and Communication,Huazhong University of Science and Technology,Wuhan 430000,China
3. Electric Power Research Institute,Haidian District,Beijing 100192,China
折叠

摘要

关键词

Graph convolutional network (GCN)/power transmission line/fault detection and classification/spatio-temporal data/topology information

Key words

Graph convolutional network (GCN)/power transmission line/fault detection and classification/spatio-temporal data/topology information

引用本文复制引用

Houjie Tong,Robert C.Qiu,Dongxia Zhang,Haosen Yang,Qi Ding,Xin Shi..Detection and Classification of Transmission Line Transient Faults Based on Graph Convolutional Neural Network[J].中国电机工程学会电力与能源系统学报（英文版）,2021,7(3):456-471,16.

基金项目

This work was supported by the National Key Research and Development Program of China under Grant 2018YFF0214704. （）

中国电机工程学会电力与能源系统学报（英文版）

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ISSN：2096-0042

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