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Wavelet-Fourier Analysis of Audible Signals to Characterize the Vibrations in LSRA

2018-09-03Journal article Restricted access
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dc.contributor.authorSalvado, José António da Costa
dc.contributor.authorCalado, M. Do Rosário
dc.contributor.authorEspírito Santo, António
dc.date.accessioned2020-01-10T16:44:43Z
dc.date.available2020-01-10T16:44:43Z
dc.date.issued2018-09-03
dc.description.abstractThis paper proposes the analysis tools, the methodology, and the experimental setup to support the characterization of vibrations in linear switched reluctance actuators by analyzing the audio signals emitted. The analysis is performed by using two approaches: the windowed Fourier transform and the joint wavelet-Fourier which leads to a hybrid spectrum representation. The spectrum of the audible noise from the vibrations is characterized for different configurations of the actuator, and the spectral components are presented, analyzed and discussed. To evaluate the responses for these configurations, one uses either its frequency components, the spectral cross-correlation, and the Cross-Power Spectrum Density through the Welch periodogram. The reliability and the suitability of this approach are verified by comparing the experimental data with the outcomes from finite elements simulations. The proposed method enables the experimental identification of the critical vibration frequencies in LSRA.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/ICELMACH.2018.8506761pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/8218
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.subjectLinear switched reluctance actuatorspt_PT
dc.subjectVibrationspt_PT
dc.subjectAcoustic noisept_PT
dc.subjectElectromagnetic forces ripplept_PT
dc.subjectWavelet packets analysispt_PT
dc.subjectHybrid spectrumpt_PT
dc.titleWavelet-Fourier Analysis of Audible Signals to Characterize the Vibrations in LSRApt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceAlexandroupoli, Greecept_PT
oaire.citation.endPage1744pt_PT
oaire.citation.startPage1738pt_PT
oaire.citation.titleXIIIrd International Conference on Electrical Machines, ICEM 2018pt_PT
person.familyNameSalvado
person.familyNameCalado
person.givenNameJosé
person.givenNameM. do Rosário
person.identifier.ciencia-id5516-036A-CEF1
person.identifier.ciencia-id9115-032B-370B
person.identifier.ciencia-id2F16-2E30-714A
person.identifier.orcid0000-0002-9839-8015
person.identifier.orcid0000-0002-5206-487X
person.identifier.orcid0000-0002-9540-8900
person.identifier.ridA-2356-2009
person.identifier.ridN-6809-2013
person.identifier.scopus-author-id36158796500
person.identifier.scopus-author-id9338016700
rcaap.embargofctCopyright cedido à editora no momento da publicaçãopt_PT
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication3f083663-73c2-4427-9dcc-f01ca8ada663
relation.isAuthorOfPublication321aefdd-cd1f-4dd6-878e-c904b3ef89ab
relation.isAuthorOfPublication6dc6521b-5df8-4491-8813-126234b9972f
relation.isAuthorOfPublication.latestForDiscovery6dc6521b-5df8-4491-8813-126234b9972f

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