Identification of transformer fault based on dissolved gas analysis using hybrid support vector machine-modified evolutionary particle swarm optimisation
Early detection of power transformer fault is important because it can reduce the maintenance cost of the transformer and it can ensure continuous electricity supply in power systems. Dissolved Gas Analysis (DGA) technique is commonly used to identify oil-filled power transformer fault type but util...
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| 主要な著者: | , |
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| フォーマット: | 論文 |
| 出版事項: |
Public Library of Science
2018
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| 主題: | |
| オンライン･アクセス: | http://eprints.um.edu.my/21817/ https://doi.org/10.1371/journal.pone.0191366 |
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