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

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dc.creatorMarcos Flávio Silveira Vasconcelos D'angelo
dc.creatorReinaldo Martinez Palhares
dc.creatorRenato Dourado Maia
dc.creatorJoão Batista Mendes
dc.creatorPetr Yakovlevitch Ekel
dc.creatorCamila Katheryne Santos Cangussu
dc.creatorLucas Almeida Aguiar
dc.date.accessioned2025-03-24T17:34:48Z
dc.date.accessioned2025-09-08T23:29:16Z
dc.date.available2025-03-24T17:34:48Z
dc.date.issued2016
dc.identifier.issn1678-5142
dc.identifier.urihttps://hdl.handle.net/1843/80870
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.rightsAcesso Restrito
dc.subjectModelos matemáticos
dc.subjectLógica simbólica e matemática
dc.subjectLógica difusa
dc.subject.otherAbordagem Fuzzy/Bayesiana
dc.subject.otherClassificação de falhas
dc.subject.otherDiagnóstico de Falhas
dc.subject.otherDetecção de Falhas
dc.subject.otherInteligência Computacional
dc.subject.otherInteligência 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
local.citation.epage320
local.citation.issue2
local.citation.spage301
local.citation.volume36
local.description.resumoThis paper addresses the problem of fault detection in stator winding of induction machine by a multiple change points detection approach in time series. To handle this problem a new fuzzy/Bayesian approach is proposed which differs from previous approaches since it does not require prior information as: the number of change points or the characterization of the data probabilistic distribution. The approach has been applied in the monitoring the current of the stator winding induction machine. The good results obtained by proposed methodology illustrate its efficiency.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://www.academia.edu/47769321

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