Monitoring the stator current in induction machines for possible fault detection: a fuzzy/bayesian approach for the problem of time series multiple change point detection

dc.creatorMarcos Flávio Silveira Vasconcelos D'Angelo
dc.creatorReinaldo Martinez Palhares
dc.creatorRenato Dourado Maia
dc.creatorJoão Batista Mendes
dc.creatorPetr Iakovlevitch Ekel
dc.creatorCamila Katheryne Santos Cangussu
dc.creatorLucas Almeida Aguiar
dc.date.accessioned2022-07-04T14:39:23Z
dc.date.accessioned2022-10-03T22:31:26Z
dc.date.available2022-07-04T14:39:23Z
dc.date.available2022-10-03T22:31:26Z
dc.date.created2022-07-04T14:39:23Z
dc.date.issued2016
dc.identifierhttps://doi.org/10.1590/0101-7438.2016.036.02.0301
dc.identifier1678-5142
dc.identifierhttp://hdl.handle.net/1843/42875
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3804393
dc.publisherUniversidade Federal de Minas Gerais
dc.publisherBrasil
dc.publisherICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS
dc.publisherUFMG
dc.relationPesquisa Operacional
dc.rightsAcesso Aberto
dc.subjectAbordagem Fuzzy/Bayesiana
dc.subjectClassificação de falhas
dc.subjectDiagnóstico de Falhas
dc.subjectDetecção de Falhas
dc.subjectInteligência Computacional
dc.subjectInteligência Artificial
dc.titleMonitoring the stator current in induction machines for possible fault detection: a fuzzy/bayesian approach for the problem of time series multiple change point detection
dc.typeArtigo de Periódico


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