An interpretable machine learning method for fault diagnosis of oil-immersed transformers based on edge inference
Intelligent diagnostic models using dissolved gas analysis are crucial for oil-immersed transformer fault diagnosis. However, the inherent “black box” nature of these models limits interpretability, and traditional methods that upload local data to central servers raise data security concerns. To ad...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
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| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S014206152500198X |
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