A PLL-based resampling technique for vibration analysis in variable-speed wind turbines with PMSG: A bearing fault case

Autores
Pezzani, Carlos Martín; Bossio, Jose Maria; Castellino, Ariel Matías; Bossio, Guillermo Rubén; de Angelo, Cristian Hernan
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Condition monitoring in permanent magnet synchronous machines has gained interest due to the increasing use in applications such as electric traction and power generation. Particularly in wind power generation, non-invasive condition monitoring techniques are of great importance. Usually, in such applications the access to the generator is complex and costly, while unexpected breakdowns results in high repair costs. This paper presents a technique which allows using vibration analysis for bearing fault detection in permanent magnet synchronous generators used in wind turbines. Given that in wind power applications the generator rotational speed may vary during normal operation, it is necessary to use special sampling techniques to apply spectral analysis of mechanical vibrations. In this work, a resampling technique based on order tracking without measuring the rotor position is proposed. To synchronize sampling with rotor position, an estimation of the rotor position obtained from the angle of the voltage vector is proposed. This angle is obtained from a phase-locked loop synchronized with the generator voltages. The proposed strategy is validated by laboratory experimental results obtained from a permanent magnet synchronous generator. Results with single point defects in the outer race of a bearing under variable speed and load conditions are presented.
Fil: Pezzani, Carlos Martín. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Bossio, Jose Maria. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Castellino, Ariel Matías. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Bossio, Guillermo Rubén. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: de Angelo, Cristian Hernan. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Bearing Fault
Order Tracking
Phased Locked Loop
Resampling
Vibrations Analysis
Wind Turbine Pmsg
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/72388
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/72388
network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling A PLL-based resampling technique for vibration analysis in variable-speed wind turbines with PMSG: A bearing fault casePezzani, Carlos MartínBossio, Jose MariaCastellino, Ariel MatíasBossio, Guillermo Rubénde Angelo, Cristian HernanBearing FaultOrder TrackingPhased Locked LoopResamplingVibrations AnalysisWind Turbine Pmsghttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Condition monitoring in permanent magnet synchronous machines has gained interest due to the increasing use in applications such as electric traction and power generation. Particularly in wind power generation, non-invasive condition monitoring techniques are of great importance. Usually, in such applications the access to the generator is complex and costly, while unexpected breakdowns results in high repair costs. This paper presents a technique which allows using vibration analysis for bearing fault detection in permanent magnet synchronous generators used in wind turbines. Given that in wind power applications the generator rotational speed may vary during normal operation, it is necessary to use special sampling techniques to apply spectral analysis of mechanical vibrations. In this work, a resampling technique based on order tracking without measuring the rotor position is proposed. To synchronize sampling with rotor position, an estimation of the rotor position obtained from the angle of the voltage vector is proposed. This angle is obtained from a phase-locked loop synchronized with the generator voltages. The proposed strategy is validated by laboratory experimental results obtained from a permanent magnet synchronous generator. Results with single point defects in the outer race of a bearing under variable speed and load conditions are presented.Fil: Pezzani, Carlos Martín. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Bossio, Jose Maria. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Castellino, Ariel Matías. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Bossio, Guillermo Rubén. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: de Angelo, Cristian Hernan. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaAcademic Press Ltd - Elsevier Science Ltd2017-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/72388Pezzani, Carlos Martín; Bossio, Jose Maria; Castellino, Ariel Matías; Bossio, Guillermo Rubén; de Angelo, Cristian Hernan; A PLL-based resampling technique for vibration analysis in variable-speed wind turbines with PMSG: A bearing fault case; Academic Press Ltd - Elsevier Science Ltd; Mechanical Systems And Signal Processing; 85; 2-2017; 354-3660888-3270CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.ymssp.2016.08.010info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S088832701630293Xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:43:32Zoai:ri.conicet.gov.ar:11336/72388instacron: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:34982025-09-29 09:43:32.416CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A PLL-based resampling technique for vibration analysis in variable-speed wind turbines with PMSG: A bearing fault case
title A PLL-based resampling technique for vibration analysis in variable-speed wind turbines with PMSG: A bearing fault case
spellingShingle A PLL-based resampling technique for vibration analysis in variable-speed wind turbines with PMSG: A bearing fault case
Pezzani, Carlos Martín
Bearing Fault
Order Tracking
Phased Locked Loop
Resampling
Vibrations Analysis
Wind Turbine Pmsg
title_short A PLL-based resampling technique for vibration analysis in variable-speed wind turbines with PMSG: A bearing fault case
title_full A PLL-based resampling technique for vibration analysis in variable-speed wind turbines with PMSG: A bearing fault case
title_fullStr A PLL-based resampling technique for vibration analysis in variable-speed wind turbines with PMSG: A bearing fault case
title_full_unstemmed A PLL-based resampling technique for vibration analysis in variable-speed wind turbines with PMSG: A bearing fault case
title_sort A PLL-based resampling technique for vibration analysis in variable-speed wind turbines with PMSG: A bearing fault case
dc.creator.none.fl_str_mv Pezzani, Carlos Martín
Bossio, Jose Maria
Castellino, Ariel Matías
Bossio, Guillermo Rubén
de Angelo, Cristian Hernan
author Pezzani, Carlos Martín
author_facet Pezzani, Carlos Martín
Bossio, Jose Maria
Castellino, Ariel Matías
Bossio, Guillermo Rubén
de Angelo, Cristian Hernan
author_role author
author2 Bossio, Jose Maria
Castellino, Ariel Matías
Bossio, Guillermo Rubén
de Angelo, Cristian Hernan
author2_role author
author
author
author
dc.subject.none.fl_str_mv Bearing Fault
Order Tracking
Phased Locked Loop
Resampling
Vibrations Analysis
Wind Turbine Pmsg
topic Bearing Fault
Order Tracking
Phased Locked Loop
Resampling
Vibrations Analysis
Wind Turbine Pmsg
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Condition monitoring in permanent magnet synchronous machines has gained interest due to the increasing use in applications such as electric traction and power generation. Particularly in wind power generation, non-invasive condition monitoring techniques are of great importance. Usually, in such applications the access to the generator is complex and costly, while unexpected breakdowns results in high repair costs. This paper presents a technique which allows using vibration analysis for bearing fault detection in permanent magnet synchronous generators used in wind turbines. Given that in wind power applications the generator rotational speed may vary during normal operation, it is necessary to use special sampling techniques to apply spectral analysis of mechanical vibrations. In this work, a resampling technique based on order tracking without measuring the rotor position is proposed. To synchronize sampling with rotor position, an estimation of the rotor position obtained from the angle of the voltage vector is proposed. This angle is obtained from a phase-locked loop synchronized with the generator voltages. The proposed strategy is validated by laboratory experimental results obtained from a permanent magnet synchronous generator. Results with single point defects in the outer race of a bearing under variable speed and load conditions are presented.
Fil: Pezzani, Carlos Martín. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Bossio, Jose Maria. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Castellino, Ariel Matías. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Bossio, Guillermo Rubén. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: de Angelo, Cristian Hernan. Universidad Nacional de Rio Cuarto. Facultad de Ingeniería. Grupo de Electronica Aplicada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Condition monitoring in permanent magnet synchronous machines has gained interest due to the increasing use in applications such as electric traction and power generation. Particularly in wind power generation, non-invasive condition monitoring techniques are of great importance. Usually, in such applications the access to the generator is complex and costly, while unexpected breakdowns results in high repair costs. This paper presents a technique which allows using vibration analysis for bearing fault detection in permanent magnet synchronous generators used in wind turbines. Given that in wind power applications the generator rotational speed may vary during normal operation, it is necessary to use special sampling techniques to apply spectral analysis of mechanical vibrations. In this work, a resampling technique based on order tracking without measuring the rotor position is proposed. To synchronize sampling with rotor position, an estimation of the rotor position obtained from the angle of the voltage vector is proposed. This angle is obtained from a phase-locked loop synchronized with the generator voltages. The proposed strategy is validated by laboratory experimental results obtained from a permanent magnet synchronous generator. Results with single point defects in the outer race of a bearing under variable speed and load conditions are presented.
publishDate 2017
dc.date.none.fl_str_mv 2017-02
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/11336/72388
Pezzani, Carlos Martín; Bossio, Jose Maria; Castellino, Ariel Matías; Bossio, Guillermo Rubén; de Angelo, Cristian Hernan; A PLL-based resampling technique for vibration analysis in variable-speed wind turbines with PMSG: A bearing fault case; Academic Press Ltd - Elsevier Science Ltd; Mechanical Systems And Signal Processing; 85; 2-2017; 354-366
0888-3270
CONICET Digital
CONICET
url http://hdl.handle.net/11336/72388
identifier_str_mv Pezzani, Carlos Martín; Bossio, Jose Maria; Castellino, Ariel Matías; Bossio, Guillermo Rubén; de Angelo, Cristian Hernan; A PLL-based resampling technique for vibration analysis in variable-speed wind turbines with PMSG: A bearing fault case; Academic Press Ltd - Elsevier Science Ltd; Mechanical Systems And Signal Processing; 85; 2-2017; 354-366
0888-3270
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ymssp.2016.08.010
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S088832701630293X
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Academic Press Ltd - Elsevier Science Ltd
publisher.none.fl_str_mv Academic Press Ltd - Elsevier Science Ltd
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_ 1844613370895925248
score 13.260194

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