GIS Fault Diagnosis Method Based on The Identification of SF<sub>6</sub> Gas Decomposition Product Fault Characteristics-Reference-Cited by-同舟云学术

GIS Fault Diagnosis Method Based on The Identification of SF₆ Gas Decomposition Product Fault Characteristics

Published:2022-02-25 Issue: Volume: Page:
ISSN:
Container-title:2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE)
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Author:

Zhang Ruien¹,Li Xinran¹,Fu Chuanfu¹,Liu Xueyang²,Wang Chunmin²,Fan Xiaozhou³,Zhang Wenqi³

Affiliation:

1. Electric Power Research Institute of Hainan Power Grid Co., Ltd,Hainan,China

2. Branch of Hainan Power Grid Co., Ltd. Maintenance Branch,Hainan,China

3. North China Electric Power University,Baoding,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9738651/9738654/09738694.pdf?arnumber=9738694

Reference12 articles.

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3. A comprehensive evaluation method of power plant units based on information entropy and principal component analysis[J];minfang;Proceedings of the CSEE,2013

4. Fault diagnosis for power transformer based on rough set and multiclass support vector machine[J];guangyu;High Voltage Apparatus,2020

5. Research on dimensional reduction of sparse matrix data based on information entropy[J];xinggao;Journal of University of Electronic Science and Technology of China,2018

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