Fault Diagnosis and Improvement of Substation Grounding Network in Substation Engineering Based on Video Image Recognition-Reference-Cited by-同舟云学术

Fault Diagnosis and Improvement of Substation Grounding Network in Substation Engineering Based on Video Image Recognition

Published:2023-12-22 Issue: Volume:7 Page:1-7
ISSN:
Container-title:2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN)
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Author:

Xu Xiaoyu¹,Wang Weiming¹,Li Liang¹,Wang Yaguang¹

Affiliation:

1. Construction Branch of State Grid Liaoning Electric Power, Supply Co. LTD,Shenyang,Liaoning,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10402119/10402128/10402278.pdf?arnumber=10402278

Reference20 articles.

1. Grounding system cost reduction using multi-objective optimisation method

2. Fault Line Detection Using Waveform Fusion and One-dimensional Convolutional Neural Network in Resonant Grounding Distribution Systems [J];Gao;Journal of Electric Power Chinese Society of Electrical Engineering,2021

3. Location for single‐phase grounding fault in distribution network based on equivalent admittance distortion rate

4. Significance of Adequate & Appropriate Grounding (Earthing) System in Averting Electric Shock, Fire & Damage to Equipments in Power Network [J];Arora;Water and Energy International,2020

5. Vibration-Based Bearing Fault Detection and Diagnosis via Image Recognition Technique Under Constant and Variable Speed Conditions

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