An Explainable and Robust Method for Fault Classification and Location on Transmission Lines-Reference-Cited by-同舟云学术

An Explainable and Robust Method for Fault Classification and Location on Transmission Lines

Published:2023-10 Issue:10 Volume:19 Page:10182-10191
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Fang Jiashu¹^ORCID,Chen Kunjin²^ORCID,Liu Chongru¹^ORCID,He Jinliang³^ORCID

Affiliation:

1. State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources, North China Electric Power University, Beijing, China

2. Alibaba Group, Hangzhou, China

3. State Key Lab of Power Systems and Department of Electrical Engineering, Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10214691/10029932.pdf?arnumber=10029932

Reference38 articles.

1. Fault Classification and Section Identification of an Advanced Series-Compensated Transmission Line Using Support Vector Machine

2. Weighted Random Search for Hyperparameter Optimization

3. Wavelet Fuzzy Combined Approach for Fault Classification of a Series-Compensated Transmission Line

4. Design and verification of the current transducer based on the tunneling magneto-resistance effect;xue;Proc 2nd Int Conf Electric Inf Control Eng,0

5. Detection and Classification of Transmission Line Faults Based on Unsupervised Feature Learning and Convolutional Sparse Autoencoder

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