Wavelet analysis for stator fault detection in induction machines

Autores
Giaccone, Santiago Juan; Bossio, Guillermo Rubén; García, Guillermo O.; Solsona, Jorge Alberto
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The main objective of the proposed analysis is the detection of inter-turn short circuits in the stator windings of an induction machine. The analysis of the space vector current modulus of an induction motor is presented in this paper. This analysis is based on Daubechies 8 wavelet with seven decomposition levels. The 5th decomposition-level detail signal for a 4 kHz sampling frequency is chosen as a fault indicator, based on simulation results that show different behaviors of the energy contained in the detail signals independent of the percentage of load and fault levels. Experimental results that validate the proposed strategy are also presented. These results also show that the strategy is in addition immune to load variations as well as to feeding voltage unbalances.
Fil: Giaccone, Santiago Juan. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Grupo de Electrónica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Bossio, Guillermo Rubén. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Grupo de Electrónica Aplicada; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas Fisicoquímicas y Naturales. Instituto de Investigaciones en Tecnologías Energéticas y Materiales Avanzados. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Tecnologías Energéticas y Materiales Avanzados; Argentina
Fil: García, Guillermo O.. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Grupo de Electrónica Aplicada; Argentina
Fil: Solsona, Jorge Alberto. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras. Instituto "alfredo Desages"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
FAULT DETECTION
INTER-TURN SHORT CIRCUITS
WAVELET ANALYSIS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/191826
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/191826
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Wavelet analysis for stator fault detection in induction machinesGiaccone, Santiago JuanBossio, Guillermo RubénGarcía, Guillermo O.Solsona, Jorge AlbertoFAULT DETECTIONINTER-TURN SHORT CIRCUITSWAVELET ANALYSIShttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2The main objective of the proposed analysis is the detection of inter-turn short circuits in the stator windings of an induction machine. The analysis of the space vector current modulus of an induction motor is presented in this paper. This analysis is based on Daubechies 8 wavelet with seven decomposition levels. The 5th decomposition-level detail signal for a 4 kHz sampling frequency is chosen as a fault indicator, based on simulation results that show different behaviors of the energy contained in the detail signals independent of the percentage of load and fault levels. Experimental results that validate the proposed strategy are also presented. These results also show that the strategy is in addition immune to load variations as well as to feeding voltage unbalances.Fil: Giaccone, Santiago Juan. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Grupo de Electrónica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Bossio, Guillermo Rubén. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Grupo de Electrónica Aplicada; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas Fisicoquímicas y Naturales. Instituto de Investigaciones en Tecnologías Energéticas y Materiales Avanzados. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Tecnologías Energéticas y Materiales Avanzados; ArgentinaFil: García, Guillermo O.. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Grupo de Electrónica Aplicada; ArgentinaFil: Solsona, Jorge Alberto. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras. Instituto "alfredo Desages"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaWorld Scientific2011-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/191826Giaccone, Santiago Juan; Bossio, Guillermo Rubén; García, Guillermo O.; Solsona, Jorge Alberto; Wavelet analysis for stator fault detection in induction machines; World Scientific; International Journal of Wavelets, Multiresolution and Information Processing; 9; 3; 5-2011; 361-3740219-69131793-690XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1142/S0219691311004109info:eu-repo/semantics/altIdentifier/url/https://www.worldscientific.com/doi/abs/10.1142/S0219691311004109info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-06-10T10:09:33Zoai:ri.conicet.gov.ar:11336/191826instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-06-10 10:09:34.278CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Wavelet analysis for stator fault detection in induction machines
title Wavelet analysis for stator fault detection in induction machines
spellingShingle Wavelet analysis for stator fault detection in induction machines
Giaccone, Santiago Juan
FAULT DETECTION
INTER-TURN SHORT CIRCUITS
WAVELET ANALYSIS
title_short Wavelet analysis for stator fault detection in induction machines
title_full Wavelet analysis for stator fault detection in induction machines
title_fullStr Wavelet analysis for stator fault detection in induction machines
title_full_unstemmed Wavelet analysis for stator fault detection in induction machines
title_sort Wavelet analysis for stator fault detection in induction machines
dc.creator.none.fl_str_mv Giaccone, Santiago Juan
Bossio, Guillermo Rubén
García, Guillermo O.
Solsona, Jorge Alberto
author Giaccone, Santiago Juan
author_facet Giaccone, Santiago Juan
Bossio, Guillermo Rubén
García, Guillermo O.
Solsona, Jorge Alberto
author_role author
author2 Bossio, Guillermo Rubén
García, Guillermo O.
Solsona, Jorge Alberto
author2_role author
author
author
dc.subject.none.fl_str_mv FAULT DETECTION
INTER-TURN SHORT CIRCUITS
WAVELET ANALYSIS
topic FAULT DETECTION
INTER-TURN SHORT CIRCUITS
WAVELET ANALYSIS
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The main objective of the proposed analysis is the detection of inter-turn short circuits in the stator windings of an induction machine. The analysis of the space vector current modulus of an induction motor is presented in this paper. This analysis is based on Daubechies 8 wavelet with seven decomposition levels. The 5th decomposition-level detail signal for a 4 kHz sampling frequency is chosen as a fault indicator, based on simulation results that show different behaviors of the energy contained in the detail signals independent of the percentage of load and fault levels. Experimental results that validate the proposed strategy are also presented. These results also show that the strategy is in addition immune to load variations as well as to feeding voltage unbalances.
Fil: Giaccone, Santiago Juan. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Grupo de Electrónica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Bossio, Guillermo Rubén. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Grupo de Electrónica Aplicada; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas Fisicoquímicas y Naturales. Instituto de Investigaciones en Tecnologías Energéticas y Materiales Avanzados. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Tecnologías Energéticas y Materiales Avanzados; Argentina
Fil: García, Guillermo O.. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Grupo de Electrónica Aplicada; Argentina
Fil: Solsona, Jorge Alberto. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras. Instituto "alfredo Desages"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description The main objective of the proposed analysis is the detection of inter-turn short circuits in the stator windings of an induction machine. The analysis of the space vector current modulus of an induction motor is presented in this paper. This analysis is based on Daubechies 8 wavelet with seven decomposition levels. The 5th decomposition-level detail signal for a 4 kHz sampling frequency is chosen as a fault indicator, based on simulation results that show different behaviors of the energy contained in the detail signals independent of the percentage of load and fault levels. Experimental results that validate the proposed strategy are also presented. These results also show that the strategy is in addition immune to load variations as well as to feeding voltage unbalances.
publishDate 2011
dc.date.none.fl_str_mv 2011-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/191826
Giaccone, Santiago Juan; Bossio, Guillermo Rubén; García, Guillermo O.; Solsona, Jorge Alberto; Wavelet analysis for stator fault detection in induction machines; World Scientific; International Journal of Wavelets, Multiresolution and Information Processing; 9; 3; 5-2011; 361-374
0219-6913
1793-690X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/191826
identifier_str_mv Giaccone, Santiago Juan; Bossio, Guillermo Rubén; García, Guillermo O.; Solsona, Jorge Alberto; Wavelet analysis for stator fault detection in induction machines; World Scientific; International Journal of Wavelets, Multiresolution and Information Processing; 9; 3; 5-2011; 361-374
0219-6913
1793-690X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1142/S0219691311004109
info:eu-repo/semantics/altIdentifier/url/https://www.worldscientific.com/doi/abs/10.1142/S0219691311004109
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv World Scientific
publisher.none.fl_str_mv World Scientific
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1867630056039251968
score 12.957546

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