A Transformer Health State Assessment Method Based on Multi-Dimensional Deep Correlation Relationship Analysis-Reference-Cited by-同舟云学术

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A Transformer Health State Assessment Method Based on Multi-Dimensional Deep Correlation Relationship Analysis

Published:2024-04-26 Issue: Volume:40 Page:65-69
ISSN:
Container-title:2024 7th International Conference on Energy, Electrical and Power Engineering (CEEPE)
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Author:

Zhang Guoliang¹,Zhang Peng¹,Xia Weishang¹,Gan Jinrui¹,Lv Shunli²,Chen Long²,Liu Xin³,Ma Huan⁴,Ge Jian⁴

Affiliation:

1. Advanced Computing and Applications(State Grid Smart Grid Research Institute Co.Ltd.,),State Grid Laboratory of Grid,Beijing,China

2. Electric Power Research Institute,NARI Group Corporation/State Grid,Jiangsu,China

3. State Grid Anhui Electric Power Co.LTD,Anhui,China

4. State Grid Anhui Ultra High Voltage Company,Anhui,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10586275/10586277/10586489.pdf?arnumber=10586489

Reference10 articles.

1. A new power transformer condition assessment method based on fuzzy closeness and inverse cloud combination weights;Li;Water Resourcesand Power,2022

2. Early warning rule strategy of power transformer health status difference-based on big data mining;Wang;Electrical Measurement and Instrumentation,2024

3. Condition assessment method for power transformers based on cloud similarity and evidence fusion;Liu;Power System Protection and Control,2023

4. Research on transformer health condition evaluation method based on clustering analysis and dynamic feature extraction

5. Health assessment model of power transformer based on dissolved gas analysis by support vector machine

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