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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/74847
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dc.contributor.authorde Oliveira, Rafael José Gomes-
dc.contributor.authorGonçalves, Valdeci Donizete-
dc.contributor.authorde Medeiros, Everton Coelho-
dc.contributor.authorMathias, Mauro Hugo-
dc.date.accessioned2014-05-27T11:28:40Z-
dc.date.accessioned2016-10-25T18:45:37Z-
dc.date.available2014-05-27T11:28:40Z-
dc.date.available2016-10-25T18:45:37Z-
dc.date.issued2013-03-18-
dc.identifierhttp://dx.doi.org/10.4028/www.scientific.net/AMR.664.901-
dc.identifier.citationAdvanced Materials Research, v. 664, p. 901-906.-
dc.identifier.issn1022-6680-
dc.identifier.urihttp://hdl.handle.net/11449/74847-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/74847-
dc.description.abstractNowadays the method based on demodulation by envelope finds wide application in industry as a technique for evaluation of bearings and other components in rotating machinery. In recent years the application of Wavelets for fault diagnosis in machinery has also obtained good development. This article demonstrates the effectiveness of the combined application of Wavelets and envelope technique (also known as HFRT High-Frequency Resonance Technique) to remove background noise from signals collected from defect bearings and identification of the characteristic frequencies of defects. A comparison of the results obtained with the isolated application of only one method against the combined technique is performed showing the increased capacity in detection of faults in rolling bearings. © (2013) Trans Tech Publications, Switzerland.en
dc.format.extent901-906-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectEnvelope-
dc.subjectFault identification-
dc.subjectWavelets-
dc.subjectCharacteristic frequencies-
dc.subjectCombined techniques-
dc.subjectEnvelope techniques-
dc.subjectFault identifications-
dc.subjectHigh-frequency resonance-
dc.subjectTime frequency analysis-
dc.subjectBearings (machine parts)-
dc.subjectDefects-
dc.subjectElectric fault currents-
dc.subjectFault detection-
dc.subjectRotating machinery-
dc.subjectWavelet analysis-
dc.titleTime-frequency analysis combining wavelets and the envelope technique for fault identification in rotary machinesen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionScience and Technology, Campus São José dos Campos - SP, Brazil-
dc.description.affiliationUNESP - São Paulo State University Campus Guaratinguetá, Mechanical Department Av. Ariberto Pereira da Cunha 333, CEP - 12.516-410 - Guaratinguetá - SP-
dc.description.affiliationIFSP - São Paulo Federal Institute of Education Science and Technology, Campus São José dos Campos - SP, Brazil, Rodovia Presidente Dutra s/n - Km145, CEP:12.220-840, Jardim Diamante-Sao Jose dos Campos-SP-
dc.description.affiliationUnespUNESP - São Paulo State University Campus Guaratinguetá, Mechanical Department Av. Ariberto Pereira da Cunha 333, CEP - 12.516-410 - Guaratinguetá - SP-
dc.identifier.doi10.4028/www.scientific.net/AMR.664.901-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofAdvanced Materials Research-
dc.identifier.scopus2-s2.0-84874891044-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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