Fault diagnosis of power transformers based on dissolved gas analysis and multi-kernel graph convolution network integrated with dual-channel classifiers
A power transformer fault diagnosis method based on dissolved gas analysis and multi-kernel graph convolution network integrated with dual-channel classifiers (DM-DC) is proposed to address the problems of insufficient accuracy and large deviation in recognition when dealing with imbalanced data. Fi...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tamkang University Press
2025-03-01
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| Series: | Journal of Applied Science and Engineering |
| Subjects: | |
| Online Access: | http://jase.tku.edu.tw/articles/jase-202510-28-10-0014 |
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