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A Transformer Condition Assessment Method Based on Combined Deep Neural Network

Hongru Zhang Fuqiang Ren Jingjing Yang Zhaoyang Kang Qingquan Li Hongshun Liu

中国电机工程学会电力与能源系统学报（英文版）2025，Vol.11Issue(2)：861-870,10.

中国电机工程学会电力与能源系统学报（英文版）2025，Vol.11Issue(2)：861-870,10.DOI:10.17775/CSEEJPES.2021.05690

A Transformer Condition Assessment Method Based on Combined Deep Neural Network

Hongru Zhang ¹Fuqiang Ren ¹Jingjing Yang ¹Zhaoyang Kang ¹Qingquan Li ¹Hongshun Liu¹

作者信息

1. Shandong Provincial Key laboratory of UHV Transmission Technology and Equipment,School of Electrical Engineering,Shandong University,Jinan 250061,China
折叠

摘要

关键词

Combined deep neural network(CDNN)/data normalization/dissolved gas analysis(DGA)/transformer condition assessment

Key words

Combined deep neural network(CDNN)/data normalization/dissolved gas analysis(DGA)/transformer condition assessment

引用本文复制引用

Hongru Zhang,Fuqiang Ren,Jingjing Yang,Zhaoyang Kang,Qingquan Li,Hongshun Liu..A Transformer Condition Assessment Method Based on Combined Deep Neural Network[J].中国电机工程学会电力与能源系统学报（英文版）,2025,11(2):861-870,10.

基金项目

This work was supported by the Science and Technology Project from Headquarters of State Grid Corporation of China(No.52060020002P). （No.52060020002P）

中国电机工程学会电力与能源系统学报（英文版）

ISSN：2096-0042

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