Rotor Failure Diagnosis of Induction Motors by Wavelet Transform and Fourier Transform in Function of the Load

Detalhes bibliográficos
Autor(a) principal: Costa, Cesar da
Data de Publicação: 2015
Outros Autores: Kashiwagi, Masamori [UNESP], Mathias, Mauro Hugo [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://www.sciencedirect.com/science/article/pii/S2351988615000044
http://hdl.handle.net/11449/129869
Resumo: This paper presents two diagnostic methods for the online detection of broken bars in induction motors with squirrel-cage type rotors. The wavelet representation of a function is a new technique. Wavelet transform of a function is the improved version of Fourier transform. Fourier transform is a powerful tool for analyzing the components of a stationary signal. But it is failed for analyzing the non-stationary signal whereas wavelet transform allows the components of a non-stationary signal to be analyzed. In this paper, our main goal is to find out the advantages of wavelet transform compared to Fourier transform in rotor failure diagnosis of induction motors.
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spelling Rotor Failure Diagnosis of Induction Motors by Wavelet Transform and Fourier Transform in Function of the LoadRotating electrical machineDiagnosticDigital signal processingThis paper presents two diagnostic methods for the online detection of broken bars in induction motors with squirrel-cage type rotors. The wavelet representation of a function is a new technique. Wavelet transform of a function is the improved version of Fourier transform. Fourier transform is a powerful tool for analyzing the components of a stationary signal. But it is failed for analyzing the non-stationary signal whereas wavelet transform allows the components of a non-stationary signal to be analyzed. In this paper, our main goal is to find out the advantages of wavelet transform compared to Fourier transform in rotor failure diagnosis of induction motors.IFSP Fed Inst Educ, Electrotech Engn, BR-01109010 Sao Paulo, SP, BrazilUniv Estadual Paulista, UNESP, Mech Engn, Sao Paulo, SP, BrazilUniv Estadual Paulista, UNESP, Mech Engn, Sao Paulo, SP, BrazilDestech Publications, IncIFSP Fed Inst EducUniversidade Estadual Paulista (Unesp)Costa, Cesar daKashiwagi, Masamori [UNESP]Mathias, Mauro Hugo [UNESP]2015-10-22T07:24:39Z2015-10-22T07:24:39Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject109-113application/pdfhttp://www.sciencedirect.com/science/article/pii/S2351988615000044International Conference On Computer Science And Artificial Intelligence (iccsai 2014), Inc, p. 109-113, 2015.http://hdl.handle.net/11449/129869WOS:000351732900024WOS000351732900024.pdf9074899537066812Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Conference On Computer Science And Artificial Intelligence (iccsai 2014)info:eu-repo/semantics/openAccess2024-07-01T20:32:39Zoai:repositorio.unesp.br:11449/129869Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:29:40.558876Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Rotor Failure Diagnosis of Induction Motors by Wavelet Transform and Fourier Transform in Function of the Load
title Rotor Failure Diagnosis of Induction Motors by Wavelet Transform and Fourier Transform in Function of the Load
spellingShingle Rotor Failure Diagnosis of Induction Motors by Wavelet Transform and Fourier Transform in Function of the Load
Costa, Cesar da
Rotating electrical machine
Diagnostic
Digital signal processing
title_short Rotor Failure Diagnosis of Induction Motors by Wavelet Transform and Fourier Transform in Function of the Load
title_full Rotor Failure Diagnosis of Induction Motors by Wavelet Transform and Fourier Transform in Function of the Load
title_fullStr Rotor Failure Diagnosis of Induction Motors by Wavelet Transform and Fourier Transform in Function of the Load
title_full_unstemmed Rotor Failure Diagnosis of Induction Motors by Wavelet Transform and Fourier Transform in Function of the Load
title_sort Rotor Failure Diagnosis of Induction Motors by Wavelet Transform and Fourier Transform in Function of the Load
author Costa, Cesar da
author_facet Costa, Cesar da
Kashiwagi, Masamori [UNESP]
Mathias, Mauro Hugo [UNESP]
author_role author
author2 Kashiwagi, Masamori [UNESP]
Mathias, Mauro Hugo [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv IFSP Fed Inst Educ
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Costa, Cesar da
Kashiwagi, Masamori [UNESP]
Mathias, Mauro Hugo [UNESP]
dc.subject.por.fl_str_mv Rotating electrical machine
Diagnostic
Digital signal processing
topic Rotating electrical machine
Diagnostic
Digital signal processing
description This paper presents two diagnostic methods for the online detection of broken bars in induction motors with squirrel-cage type rotors. The wavelet representation of a function is a new technique. Wavelet transform of a function is the improved version of Fourier transform. Fourier transform is a powerful tool for analyzing the components of a stationary signal. But it is failed for analyzing the non-stationary signal whereas wavelet transform allows the components of a non-stationary signal to be analyzed. In this paper, our main goal is to find out the advantages of wavelet transform compared to Fourier transform in rotor failure diagnosis of induction motors.
publishDate 2015
dc.date.none.fl_str_mv 2015-10-22T07:24:39Z
2015-10-22T07:24:39Z
2015-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.sciencedirect.com/science/article/pii/S2351988615000044
International Conference On Computer Science And Artificial Intelligence (iccsai 2014), Inc, p. 109-113, 2015.
http://hdl.handle.net/11449/129869
WOS:000351732900024
WOS000351732900024.pdf
9074899537066812
url http://www.sciencedirect.com/science/article/pii/S2351988615000044
http://hdl.handle.net/11449/129869
identifier_str_mv International Conference On Computer Science And Artificial Intelligence (iccsai 2014), Inc, p. 109-113, 2015.
WOS:000351732900024
WOS000351732900024.pdf
9074899537066812
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Conference On Computer Science And Artificial Intelligence (iccsai 2014)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 109-113
application/pdf
dc.publisher.none.fl_str_mv Destech Publications, Inc
publisher.none.fl_str_mv Destech Publications, Inc
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808129077611069440

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