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...

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Manylion Llyfryddiaeth

Prif Awduron:	George Odongo, Richard Musabe, Damien Hanyurwimfura
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	MDPI AG 2021-04-01
Cyfres:	Algorithms
Pynciau:	dissolved gas analysis machine learning multinomial classification random forest
Mynediad Ar-lein:	https://www.mdpi.com/1999-4893/14/4/128
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!