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Expert system to detect incipient fauts in rotating machines using fuzzy logic and virtual instrumentation

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dc.contributor.authorVanni, Renato [UNESP]
dc.contributor.authorBotura Júnior, Galdenoro [UNESP]
dc.contributor.authorLemos, Marilza Antunes de [UNESP]
dc.contributor.authorMarques, Marcio Alexandre [UNESP]
dc.contributor.authorRosa, Luiz Carlos [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2016-03-02T12:59:43Z
dc.date.available2016-03-02T12:59:43Z
dc.date.issued2012
dc.description.abstractThis paper refers to the design of an expert system that captures a waveform through the use of an accelerometer, processes the signal and converts it to the frequency domain using a Fast Fourier Transformer to then, using artificial intelligence techniques, specifically Fuzzy Reasoning, it determines if there is any failure present in the underlying mode of the equipment, such as imbalance, misalignment or bearing defects.en
dc.description.affiliationUniversidade Estadual Paulista Júlio de Mesquita Filho, Instituto de Ciência e Tecnologia (ICTS), Campus de Sorocaba, Sorocaba, Av. Três de Março, 511, Alto da Boa Vista, CEP 18017180, SP, Brasil
dc.description.affiliationUnespUniversidade Estadual Paulista Júlio de Mesquita Filho, Instituto de Ciência e Tecnologia (ICTS), Campus de Sorocaba, Sorocaba, Av. Três de Março, 511, Alto da Boa Vista, CEP 18017180, SP, Brasil
dc.format.extent1011-1014
dc.identifierhttp://www.ijcte.org/papers/628-S0074.pdf
dc.identifier.citationInternational Journal of Computer Theory and Engineering, v. 4, n. 6, p. 1011-1014, 2012.
dc.identifier.issn1793-8201
dc.identifier.lattes2863978276801537
dc.identifier.lattes5612515856487911
dc.identifier.lattes3493052819658191
dc.identifier.orcid0000-0003-4482-3300
dc.identifier.urihttp://hdl.handle.net/11449/135094
dc.language.isoeng
dc.relation.ispartofInternational Journal of Computer Theory and Engineering
dc.rights.accessRightsAcesso restrito
dc.sourceCurrículo Lattes
dc.subjectExpert systemsen
dc.subjectFault diagnosisen
dc.subjectFuzzy logicen
dc.subjectRotary machineen
dc.subjectVirtual instrumentationen
dc.titleExpert system to detect incipient fauts in rotating machines using fuzzy logic and virtual instrumentationen
dc.typeArtigo
dspace.entity.typePublication
unesp.author.lattes2863978276801537
unesp.author.lattes5612515856487911
unesp.author.lattes3493052819658191
unesp.author.orcid0000-0003-4482-3300[4]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Ciência e Tecnologia, Sorocabapt
unesp.departmentEngenharia de Controle e Automação - ICTSpt

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Sorocaba - ICTS - Instituto de Ciência e Tecnologia