Research on Fault Location of Process-Level Communication Networks in Smart Substation Based on Deep Neural Networks-Reference-Cited by-同舟云学术

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Research on Fault Location of Process-Level Communication Networks in Smart Substation Based on Deep Neural Networks

Published:2020 Issue: Volume:8 Page:109707-109718
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ren Bo^ORCID,Li Jinsong^ORCID,Zheng Yongkang^ORCID,Chen Xiaodong^ORCID,Zhao Yibing^ORCID,Zhang Haiyang^ORCID,Zheng Chao^ORCID

Funder

Open Fund of Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology

State Grid Sichuan Electric Power Company 2019 Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09116938.pdf?arnumber=9116938

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fault Tracing Method for Relay Protection System–Circuit Breaker Based on Improved Random Forest;Electronics;2024-01-31

2. A Study on the Fault Location of Secondary Equipment in Smart Substation Based on the Graph Attention Network;Sensors;2023-11-24

3. Panoramic Assessment Method of Substation Equipment Health Status Based on Multisource Monitoring and Deep Convolution Neural Network under Edge Computing Architecture;Journal of Electrical and Computer Engineering;2023-04-20

4. Fault Diagnosis of Smart Substation Secondary System Based on ANN;2023 5th Asia Energy and Electrical Engineering Symposium (AEEES);2023-03-23

5. A Graph Deep Learning-Based Fault Detection and Positioning Method for Internet Communication Networks;IEEE Access;2023

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