A Multinomial DGA Classifier for Incipient Fault Detection in Oil-Impregnated Power Transformers
This study investigates the use of machine-learning approaches to interpret Dissolved Gas Analysis (DGA) data to find incipient faults early in oil-impregnated transformers. Transformers are critical pieces of equipment in transmitting and distributing electrical energy. The failure of a single unit...
Kaydedildi:
| Asıl Yazarlar: | , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI AG
2021-04-01
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| Seri Bilgileri: | Algorithms |
| Konular: | |
| Online Erişim: | https://www.mdpi.com/1999-4893/14/4/128 |
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