Fault evolution monitoring of an in-service wind turbine DFIG using Windowed Scalogram Difference

The rapid evolution of wind energy in reducing CO2 emissions worldwide is undeniable, which is, in fact, expected to continue or even increase its impressive yearly capacity growth. In this regard, optimizing operations and maintenance of wind turbines (WTs) and farms is considered to be one of the...

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Autores: Artiago, Estefanía, Ballester Arce, José Miguel, Bueso Sánchez, María del Carmen, Molina García, Ángel, Honrubia Escribano, Andrés, Gómez Lázaro, Emilio
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Universidad Politécnica de Cartagena(UPCT)
Repositorio:Repositorio Digital UPCT
OAI Identifier:oai:repositorio.upct.es:10317/13083
Acceso en línea:http://hdl.handle.net/10317/13083
https://ieeexplore.ieee.org/document/9459728
Access Level:acceso abierto
Palabra clave:Condition monitoring
Current signature analysis
Doubly-fed induction generator
Wavelets
Windowed scalogram difference
Wind turbine
Ingeniería Eléctrica
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spelling Fault evolution monitoring of an in-service wind turbine DFIG using Windowed Scalogram DifferenceArtiago, EstefaníaBallester Arce, José MiguelBueso Sánchez, María del CarmenMolina García, ÁngelHonrubia Escribano, AndrésGómez Lázaro, EmilioCondition monitoringCurrent signature analysisDoubly-fed induction generatorWaveletsWindowed scalogram differenceWind turbineIngeniería EléctricaThe rapid evolution of wind energy in reducing CO2 emissions worldwide is undeniable, which is, in fact, expected to continue or even increase its impressive yearly capacity growth. In this regard, optimizing operations and maintenance of wind turbines (WTs) and farms is considered to be one of the options for reducing the levelized cost of electricity of wind energy. This can be achieved by developing innovative condition monitoring methods. To this end, the use of the windowed scalogram difference (WSD) algorithm, based on wavelets, is proposed as an alternative solution, combined with current signature analysis (CSA). The electric generator is one of the major contributors to WT failure rates and downtime, and doubly-fed induction generators (DFIGs) are the dominant technology in variable-speed WTs. In the present work, operational data on an in-service WT DFIG are analyzed over a period of eight months, in contrast to the majority of the studies in this field, which rely on laboratory or simulated data. The evolution of the fault, namely rotor mechanical asymmetry, at an early stage, is analyzed and quantified implementing WSD to the stator current signals, supported by the previous diagnosis achieved through CSA. The combination of CSA and WSD shows strong potential for diagnosing and tracking, respectively, incipient faults in in-service WT DFIGs.This work was supported in part by the Council of Communities of Castilla-La Mancha under Grant SBPLY/19/180501/000287, and in part by the European Union Fondo Europeo de Desarrollo Regional (FEDER).IEEEJunta de Comunidades de Castilla-La ManchaFondo Europeo de Desarrollo Regional‏202420242021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10317/13083https://ieeexplore.ieee.org/document/9459728reponame:Repositorio Digital UPCTinstname:Universidad Politécnica de Cartagena(UPCT)InglésParticipación de centrales de energía renovable no gestionable en SEP del futuroSBPLY/19/180501/000287SBPLY/19/180501/000287Atribución-NoComercial-SinDerivadas 3.0 EspañaAtribución-NoComercial-SinDerivadas 3.0 EspañaAtribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:repositorio.upct.es:10317/130832026-05-15T06:39:02Z
dc.title.none.fl_str_mv Fault evolution monitoring of an in-service wind turbine DFIG using Windowed Scalogram Difference
title Fault evolution monitoring of an in-service wind turbine DFIG using Windowed Scalogram Difference
spellingShingle Fault evolution monitoring of an in-service wind turbine DFIG using Windowed Scalogram Difference
Artiago, Estefanía
Condition monitoring
Current signature analysis
Doubly-fed induction generator
Wavelets
Windowed scalogram difference
Wind turbine
Ingeniería Eléctrica
title_short Fault evolution monitoring of an in-service wind turbine DFIG using Windowed Scalogram Difference
title_full Fault evolution monitoring of an in-service wind turbine DFIG using Windowed Scalogram Difference
title_fullStr Fault evolution monitoring of an in-service wind turbine DFIG using Windowed Scalogram Difference
title_full_unstemmed Fault evolution monitoring of an in-service wind turbine DFIG using Windowed Scalogram Difference
title_sort Fault evolution monitoring of an in-service wind turbine DFIG using Windowed Scalogram Difference
dc.creator.none.fl_str_mv Artiago, Estefanía
Ballester Arce, José Miguel
Bueso Sánchez, María del Carmen
Molina García, Ángel
Honrubia Escribano, Andrés
Gómez Lázaro, Emilio
author Artiago, Estefanía
author_facet Artiago, Estefanía
Ballester Arce, José Miguel
Bueso Sánchez, María del Carmen
Molina García, Ángel
Honrubia Escribano, Andrés
Gómez Lázaro, Emilio
author_role author
author2 Ballester Arce, José Miguel
Bueso Sánchez, María del Carmen
Molina García, Ángel
Honrubia Escribano, Andrés
Gómez Lázaro, Emilio
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Junta de Comunidades de Castilla-La Mancha
Fondo Europeo de Desarrollo Regional‏
dc.subject.none.fl_str_mv Condition monitoring
Current signature analysis
Doubly-fed induction generator
Wavelets
Windowed scalogram difference
Wind turbine
Ingeniería Eléctrica
topic Condition monitoring
Current signature analysis
Doubly-fed induction generator
Wavelets
Windowed scalogram difference
Wind turbine
Ingeniería Eléctrica
description The rapid evolution of wind energy in reducing CO2 emissions worldwide is undeniable, which is, in fact, expected to continue or even increase its impressive yearly capacity growth. In this regard, optimizing operations and maintenance of wind turbines (WTs) and farms is considered to be one of the options for reducing the levelized cost of electricity of wind energy. This can be achieved by developing innovative condition monitoring methods. To this end, the use of the windowed scalogram difference (WSD) algorithm, based on wavelets, is proposed as an alternative solution, combined with current signature analysis (CSA). The electric generator is one of the major contributors to WT failure rates and downtime, and doubly-fed induction generators (DFIGs) are the dominant technology in variable-speed WTs. In the present work, operational data on an in-service WT DFIG are analyzed over a period of eight months, in contrast to the majority of the studies in this field, which rely on laboratory or simulated data. The evolution of the fault, namely rotor mechanical asymmetry, at an early stage, is analyzed and quantified implementing WSD to the stator current signals, supported by the previous diagnosis achieved through CSA. The combination of CSA and WSD shows strong potential for diagnosing and tracking, respectively, incipient faults in in-service WT DFIGs.
publishDate 2021
dc.date.none.fl_str_mv 2021
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10317/13083
https://ieeexplore.ieee.org/document/9459728
url http://hdl.handle.net/10317/13083
https://ieeexplore.ieee.org/document/9459728
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Participación de centrales de energía renovable no gestionable en SEP del futuro
SBPLY/19/180501/000287
SBPLY/19/180501/000287
dc.rights.none.fl_str_mv Atribución-NoComercial-SinDerivadas 3.0 España
Atribución-NoComercial-SinDerivadas 3.0 España
Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Repositorio Digital UPCT
instname:Universidad Politécnica de Cartagena(UPCT)
instname_str Universidad Politécnica de Cartagena(UPCT)
reponame_str Repositorio Digital UPCT
collection Repositorio Digital UPCT
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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