A Multinomial DGA Classifier for Incipient Fault Detection in Oil-Impregnated Power Transformers
Sign Up to like & getrecommendations! Published in 2021 at "Algorithms"
DOI: 10.3390/a14040128
Abstract: 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.… read more here.
Keywords: dga; multinomial dga; power; dga data ... See more keywords