dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorde Oliveira, Rafael José Gomes
dc.creatorGonçalves, Valdeci Donizete
dc.creatorde Medeiros, Everton Coelho
dc.creatorMathias, Mauro Hugo
dc.date2014-05-27T11:28:40Z
dc.date2016-10-25T18:45:37Z
dc.date2014-05-27T11:28:40Z
dc.date2016-10-25T18:45:37Z
dc.date2013-03-18
dc.date.accessioned2017-04-06T02:16:52Z
dc.date.available2017-04-06T02:16:52Z
dc.identifierAdvanced Materials Research, v. 664, p. 901-906.
dc.identifier1022-6680
dc.identifierhttp://hdl.handle.net/11449/74847
dc.identifierhttp://acervodigital.unesp.br/handle/11449/74847
dc.identifier10.4028/www.scientific.net/AMR.664.901
dc.identifier2-s2.0-84874891044
dc.identifierhttp://dx.doi.org/10.4028/www.scientific.net/AMR.664.901
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/895606
dc.descriptionNowadays 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.
dc.languageeng
dc.relationAdvanced Materials Research
dc.rightsinfo:eu-repo/semantics/closedAccess
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 machines
dc.typeOtro


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