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Anais do 7. Congresso Brasileiro de Redes Neurais
Incipient fault in power transformer is closely related to isolation condition assessment. Dissolved gas analysis in transformer insulating oil is a well-known diagnostic technique. Produced gases serve as indicators of the type and severity of electrical stress. This paper presents a comparative study of multilayer perceptron and radial basis function neural networks for fault identification in oil-immersed power transformers. The neural networks are trained by using improved learningdoi:10.21528/cbrn2005-202 fatcat:jh3otbabpjbetgp6cjf25xekci