Fast fault diagnosis in power transformers using optimum-path forest
Carregando...
Data
Orientador
Coorientador
Pós-graduação
Curso de graduação
Título da Revista
ISSN da Revista
Título de Volume
Editor
Tipo
Trabalho apresentado em evento
Direito de acesso
Acesso aberto
Resumo
In this paper we propose a fast and an accurate method for fault diagnosis in power transformers by means of Optimum-Path Forest (OPF) classifier. Since we applied Dissolved Gas Analysis (DGA), the samples have been labeled by IEEE/IEC standard, which was further analyzed by OPF and several other well known supervised pattern recognition techniques. The experiments have showed that OPF can achieve high recognition rates with low computational cost. © 2012 IEEE.
Descrição
Palavras-chave
Computational costs, Dissolved gas analysis, Optimum-path forests, Recognition rates, Supervised pattern recognition, Forestry, Pattern recognition, Power transformers, Experimentation, Pattern Recognition, Power Factor, Transformers
Idioma
Inglês
Citação
INES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings, p. 209-212.
