Identification of Partial Discharge State of Transformer Based on Cov-Iradon Transformation-CNN-Reference-Cited by-同舟云学术

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Identification of Partial Discharge State of Transformer Based on Cov-Iradon Transformation-CNN

Published:2024-07-20 Issue: Volume:02 Page:24-28
ISSN:
Container-title:2024 7th Asia Conference on Energy and Electrical Engineering (ACEEE)
language:
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Author:

Le Li¹,Chaoran Li¹,Zhiyuan Liu¹,Hao Han¹,Ying Zhang¹,Xiaoxun Zhu²

Affiliation:

1. State Grid Beijing Daxing power supply company,Sales Department,Beijing,China

2. North China Electric Power University,Department of power engineering,Baoding,Hebei,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649889/10651617/10651618.pdf?arnumber=10651618

Reference16 articles.

1. The status quo and development of partial discharge detection technology [J];Jun;Journal of electrical engineering technology,2005

2. GIS risk assessment method based on partial discharge deep learning [D];Song;Shanghaijiaotong university,2018

3. Measurement and analysis of partial Discharge in GIS Typical Defects [J];Jisheng;High Voltage Technology,2009

4. Power transformer oilpaper insulating heat aging research review [J];Ruijin;Journal of electrotechnics,2012

5. Partial discharge feature extraction and optimization based on grayscale image decomposition[J];Ke;Journal of Electric Machines and Control,2018

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