FAULT DIAGNOSIS OF POWER TRANSFORMER USING NEURO-FUZZY MODEL
In this study, we have presented Neuro-Fuzzy model for fault diagnosis of power transformer based on dissolved gas analysis (DGA). DGA is a very efficient tool for monitoring transformers in-service behavior to avoid catastrophic failures, costly outages and losses of production. Determination of th...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
İstanbul University-Cerrahpasa
2008-07-01
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| Col·lecció: | Electrica |
| Matèries: | |
| Accés en línia: | https://www.electricajournal.org/index.php/pub/article/view/335 |
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