A Multinomial DGA Classifier for Incipient Fault Detection in Oil-Impregnated Power Transformers

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: Erthygl
Iaith:English
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

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https://www.mdpi.com/1999-4893/14/4/128

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