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...
| Main Authors: | , , |
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| 格式: | 文件 |
| 语言: | English |
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MDPI AG
2021-04-01
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| 丛编: | Algorithms |
| 主题: | |
| 在线阅读: | https://www.mdpi.com/1999-4893/14/4/128 |