Research on Prediction and Identification Method of Latent Fault Characteristic Gas in High Voltage Switchgear Based on Neural Network-Reference-Cited by-同舟云学术

Research on Prediction and Identification Method of Latent Fault Characteristic Gas in High Voltage Switchgear Based on Neural Network

Published:2023-08-18 Issue: Volume:38 Page:915-919
ISSN:
Container-title:2023 International Conference on Advances in Electrical Engineering and Computer Applications (AEECA)
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Author:

Han Fangyuan¹,Yu Min¹,Tang Bin¹,Liang Qinqin¹,Luo Zongchang¹,Zhang Longfei¹,Luo Chuansheng²,Hu Mengzhu¹,Wang Jialin³,Zhu Liping¹

Affiliation:

1. Electric Power Research Institute of Guangxi Power Grid Co., Ltd,Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment,Nanning,Guangxi,China

2. Nanning Power Supply Bureau of Guangxi Power Grid Co., Ltd,Nanning,Guangxi,China

3. Guangxi Power Grid Co., Ltd,Nanning,Guangxi,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511267/10511091/10511466.pdf?arnumber=10511466

Reference15 articles.

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4. Fault analysis and treatment measures of switch cabinet in power net⁃work;Zhenyu;Electrical Engineering Materials,2018

5. Internal air gap discharge model of high voltage switch cabinet and its electric field analysis;Chao;Journal of Huaqiao University (Natural Science Edition),2018