Classification of Transmission Line Ground Short Circuit Fault Based on Convolutional Neural Network-Reference-Cited by-同舟云学术

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Classification of Transmission Line Ground Short Circuit Fault Based on Convolutional Neural Network

Published:2022 Issue:3 Volume:119 Page:985-996
ISSN:0199-8595
Container-title:Energy Engineering
language:en
Short-container-title:

Author:

Guo Tao,Tian Gang,Ao Zhimin,Fang Xi,Wei Lili,Li Fei

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Energy Engineering and Power Technology,Building and Construction,Renewable Energy, Sustainability and the Environment

Link

https://www.techscience.com/energy/v119n3/47283/pdf

Reference26 articles.

1. Detection and classification of transmission line faults based on unsupervised feature learning and convolutional sparse autoencoder;Chen;IEEE Transactions on Smart Grid,2018

2. Detection and classification of transmission line transient faults based on graph convolutional neural network;Tong;Csee Journal of Power and Energy Systems,2021

3. A Decision-tree-based method for fault classification in single-circuit transmission lines;Jamehbozorg;IEEE Transactions on Power Delivery,2010

4. Fault classification and faulted phase selection based on the symmetrical components of reactive power for single-circuit transmission lines;Mahamedi;IEEE Transactions on Power Delivery,2013

5. An accurate fault classification technique for power system monitoring devices;Adu;IEEE Transactions on Power Delivery,2002

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