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

Detalhes bibliográficos
Autor(a) principal: Salvado, José António da Costa
Data de Publicação: 2018
Outros Autores: Calado, M. Do Rosário, Espírito Santo, António
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.6/8218
Resumo: This 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.
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spelling Wavelet-Fourier Analysis of Audible Signals to Characterize the Vibrations in LSRALinear switched reluctance actuatorsVibrationsAcoustic noiseElectromagnetic forces rippleWavelet packets analysisHybrid spectrumThis 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.Institute of Electrical and Electronics EngineersuBibliorumSalvado, José António da CostaCalado, M. Do RosárioEspírito Santo, António2020-01-10T16:44:43Z2018-09-032018-09-03T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/8218eng10.1109/ICELMACH.2018.8506761metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-12-15T09:47:40Zoai:ubibliorum.ubi.pt:10400.6/8218Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:48:25.680761Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Wavelet-Fourier Analysis of Audible Signals to Characterize the Vibrations in LSRA
title Wavelet-Fourier Analysis of Audible Signals to Characterize the Vibrations in LSRA
spellingShingle Wavelet-Fourier Analysis of Audible Signals to Characterize the Vibrations in LSRA
Salvado, José António da Costa
Linear switched reluctance actuators
Vibrations
Acoustic noise
Electromagnetic forces ripple
Wavelet packets analysis
Hybrid spectrum
title_short Wavelet-Fourier Analysis of Audible Signals to Characterize the Vibrations in LSRA
title_full Wavelet-Fourier Analysis of Audible Signals to Characterize the Vibrations in LSRA
title_fullStr Wavelet-Fourier Analysis of Audible Signals to Characterize the Vibrations in LSRA
title_full_unstemmed Wavelet-Fourier Analysis of Audible Signals to Characterize the Vibrations in LSRA
title_sort Wavelet-Fourier Analysis of Audible Signals to Characterize the Vibrations in LSRA
author Salvado, José António da Costa
author_facet Salvado, José António da Costa
Calado, M. Do Rosário
Espírito Santo, António
author_role author
author2 Calado, M. Do Rosário
Espírito Santo, António
author2_role author
author
dc.contributor.none.fl_str_mv uBibliorum
dc.contributor.author.fl_str_mv Salvado, José António da Costa
Calado, M. Do Rosário
Espírito Santo, António
dc.subject.por.fl_str_mv Linear switched reluctance actuators
Vibrations
Acoustic noise
Electromagnetic forces ripple
Wavelet packets analysis
Hybrid spectrum
topic Linear switched reluctance actuators
Vibrations
Acoustic noise
Electromagnetic forces ripple
Wavelet packets analysis
Hybrid spectrum
description This 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.
publishDate 2018
dc.date.none.fl_str_mv 2018-09-03
2018-09-03T00:00:00Z
2020-01-10T16:44:43Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.6/8218
url http://hdl.handle.net/10400.6/8218
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1109/ICELMACH.2018.8506761
dc.rights.driver.fl_str_mv metadata only access
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rights_invalid_str_mv metadata only access
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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