Fault Diagnosis of Power Transformers With Membership Degree

Power transformers are important equipment for power systems, and a dissolved gas analysis (DGA) is widely used to detect incipient faults in oil-pregnant transformers. The conventional methods are prone to misinterpreting the gas data near the boundaries and the correct rate is low. Though a high c...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.28791-28798
Hauptverfasser:	Li, Enwen, Wang, Linong, Song, Bin
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Clustering Dissolved gases Fault detection Fault diagnosis fuzzy clustering Gas analysis Gases Genetic algorithms Hydrocarbons membership degree Oils Power transformer Power transformer insulation Support vector machines Transformers
Online-Zugang:	Volltext
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