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Partial discharge defect classification in cast-resin transformers using machine learning-based algorithms Cover

Partial discharge defect classification in cast-resin transformers using machine learning-based algorithms

Journal of Electrical Engineering
Volume 76 (2025): Issue 6 (December 2025)
By: Gyeong-Yeol Lee,  Gyung-Suk Kil and  Sung-Wook Kim  
Open Access
|Dec 2025

Authors

Gyeong-Yeol Lee

gyeongyeollee1@gmail.com

Korea Hydro & Nuclear Power Co., LTD (KHNP), Gyeongju, Republic of Korea

Gyung-Suk Kil

kilgs@kmou.ac.kr

Department of Electrical and Electronics Engineering, National Korea Maritime and Ocean University, Busing, Republic of Korea

Sung-Wook Kim

number1@silla.ac.kr

Department of Electrical and Electronics Engineering, Silla University, Busan, Republic of Korea
DOI: https://doi.org/10.2478/jee-2025-0059 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
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Language: English
Page range: 565 - 573
Submitted on: Sep 25, 2025
Published on: Dec 6, 2025
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
cast-resin transformers,
PD defect classification,
machine learning algorithm,
Rogowski-type PD sensor
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2025 Gyeong-Yeol Lee, Gyung-Suk Kil, Sung-Wook Kim, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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