Full-scale wind turbine vibration signature analysis

A sample of healthy wind turbines from the same wind farm with identical sizes and designs was investigated to determine the average vibrational signatures of the drive train components during normal operation. The units were variable-speed machines with three blades. The rotor was supported by two...

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Bibliographic Details
Authors: Escaler Puigoriol, Francesc Xavier|||0000-0002-9374-7749, Mebarki, Toufik
Format: article
Publication Date:2018
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:English
OAI Identifier:oai:upcommons.upc.edu:2117/125725
Online Access:https://hdl.handle.net/2117/125725
https://dx.doi.org/10.3390/machines6040063
Access Level:Open access
Keyword:Fluid mechanics
Wind turbine
Condition monitoring
Vibrations
Frequency content
Drive train
Tower
Mecànica de fluids
Àrees temàtiques de la UPC::Enginyeria mecànica::Mecànica de fluids::Màquines hidràuliques i de fluids
id ES_ae9e2f9ec8a054e664ce878be64d0a3d
oai_identifier_str oai:upcommons.upc.edu:2117/125725
network_acronym_str ES
network_name_str España
repository_id_str
spelling Full-scale wind turbine vibration signature analysisEscaler Puigoriol, Francesc Xavier|||0000-0002-9374-7749Mebarki, ToufikFluid mechanicsWind turbineCondition monitoringVibrationsFrequency contentDrive trainTowerMecànica de fluidsÀrees temàtiques de la UPC::Enginyeria mecànica::Mecànica de fluids::Màquines hidràuliques i de fluidsA sample of healthy wind turbines from the same wind farm with identical sizes and designs was investigated to determine the average vibrational signatures of the drive train components during normal operation. The units were variable-speed machines with three blades. The rotor was supported by two bearings, and the drive train connected to an intermediate three-stage planetary/helical gearbox. The nominal 2 MW output power was regulated using blade pitch adjustment. Vibrations were measured in exactly the same positions using the same type of sensors over a six-month period covering the entire range of operating conditions. The data set was preliminary validated to remove outliers based on the theoretical power curves. The most relevant frequency peaks in the rotor, gearbox, and generator vibrations were detected and identified based on averaged power spectra. The amplitudes of the peaks induced by a common source of excitation were compared in different measurement positions. A wind speed dependency of broadband vibration amplitudes was also observed. Finally, a fault detection case is presented showing the change of vibration signature induced by a damage in the gearboxPeer Reviewed20182018-12-0720182018-12-12journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/125725https://dx.doi.org/10.3390/machines6040063reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1257252026-05-27T15:37:01Z
dc.title.none.fl_str_mv Full-scale wind turbine vibration signature analysis
title Full-scale wind turbine vibration signature analysis
spellingShingle Full-scale wind turbine vibration signature analysis
Escaler Puigoriol, Francesc Xavier|||0000-0002-9374-7749
Fluid mechanics
Wind turbine
Condition monitoring
Vibrations
Frequency content
Drive train
Tower
Mecànica de fluids
Àrees temàtiques de la UPC::Enginyeria mecànica::Mecànica de fluids::Màquines hidràuliques i de fluids
title_short Full-scale wind turbine vibration signature analysis
title_full Full-scale wind turbine vibration signature analysis
title_fullStr Full-scale wind turbine vibration signature analysis
title_full_unstemmed Full-scale wind turbine vibration signature analysis
title_sort Full-scale wind turbine vibration signature analysis
dc.creator.none.fl_str_mv Escaler Puigoriol, Francesc Xavier|||0000-0002-9374-7749
Mebarki, Toufik
author Escaler Puigoriol, Francesc Xavier|||0000-0002-9374-7749
author_facet Escaler Puigoriol, Francesc Xavier|||0000-0002-9374-7749
Mebarki, Toufik
author_role author
author2 Mebarki, Toufik
author2_role author
dc.subject.none.fl_str_mv Fluid mechanics
Wind turbine
Condition monitoring
Vibrations
Frequency content
Drive train
Tower
Mecànica de fluids
Àrees temàtiques de la UPC::Enginyeria mecànica::Mecànica de fluids::Màquines hidràuliques i de fluids
topic Fluid mechanics
Wind turbine
Condition monitoring
Vibrations
Frequency content
Drive train
Tower
Mecànica de fluids
Àrees temàtiques de la UPC::Enginyeria mecànica::Mecànica de fluids::Màquines hidràuliques i de fluids
description A sample of healthy wind turbines from the same wind farm with identical sizes and designs was investigated to determine the average vibrational signatures of the drive train components during normal operation. The units were variable-speed machines with three blades. The rotor was supported by two bearings, and the drive train connected to an intermediate three-stage planetary/helical gearbox. The nominal 2 MW output power was regulated using blade pitch adjustment. Vibrations were measured in exactly the same positions using the same type of sensors over a six-month period covering the entire range of operating conditions. The data set was preliminary validated to remove outliers based on the theoretical power curves. The most relevant frequency peaks in the rotor, gearbox, and generator vibrations were detected and identified based on averaged power spectra. The amplitudes of the peaks induced by a common source of excitation were compared in different measurement positions. A wind speed dependency of broadband vibration amplitudes was also observed. Finally, a fault detection case is presented showing the change of vibration signature induced by a damage in the gearbox
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-12-07
2018
2018-12-12
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/125725
https://dx.doi.org/10.3390/machines6040063
url https://hdl.handle.net/2117/125725
https://dx.doi.org/10.3390/machines6040063
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869416595903741952
score 15,301603

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