New Approaches on Maintenance Management for Wind Turbines Based on Acoustic Inspection

Nowadays, maintenance management is changing due to the new technologies in inspection and monitorization systems to reduce the production costs for the companies and risks for the operator. Maintenance management is a key factor in some industries as renewable energy, due to the high-cost consequen...

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Detalhes bibliográficos
Autores: García Márquez, Fausto Pedro, Bernalte Sánchez, Pedro José
Tipo de documento: artigo
Data de publicação:2020
País:España
Recursos:Universidad de Castilla-La Mancha
Repositório:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/26581
Acesso em linha:http://hdl.handle.net/10578/26581
Access Level:Acceso aberto
Palavra-chave:Aerogeneradores
Turbina eólica
Energía renovable
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spelling New Approaches on Maintenance Management for Wind Turbines Based on Acoustic InspectionGarcía Márquez, Fausto PedroBernalte Sánchez, Pedro JoséAerogeneradoresTurbina eólicaEnergía renovableNowadays, maintenance management is changing due to the new technologies in inspection and monitorization systems to reduce the production costs for the companies and risks for the operator. Maintenance management is a key factor in some industries as renewable energy, due to the high-cost consequences of a wrong failure detection in a wind turbine. Therefore, advances in condition monitoring systems are required for an early failure diagnosis. This paper contributes to the actual wind turbines diagnosis methods with a novel non-destructive inspection system based on acoustic analysis of the wind turbine condition. The paper presents a condition monitoring system based on an acoustic sensor embedded in an unmanned aerial vehicle to collect acoustic signals emitted by the wind turbine. The signals are sent to a ground remote-control centre, and then they are analysed. This data acquisition system needs of a qualitative and quantitative analysis to classify and identify the condition of the wind turbine. Wavelet transforms are employed for filtering the signals and pattern recognition. Several scenarios are considered and analysed considering the main mechanical parts and components of a wind turbine.Springer202020202020info:eu-repo/semantics/articletext/plainapplication/pdfhttp://hdl.handle.net/10578/26581reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésinfo:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/265812026-05-27T07:36:41Z
dc.title.none.fl_str_mv New Approaches on Maintenance Management for Wind Turbines Based on Acoustic Inspection
title New Approaches on Maintenance Management for Wind Turbines Based on Acoustic Inspection
spellingShingle New Approaches on Maintenance Management for Wind Turbines Based on Acoustic Inspection
García Márquez, Fausto Pedro
Aerogeneradores
Turbina eólica
Energía renovable
title_short New Approaches on Maintenance Management for Wind Turbines Based on Acoustic Inspection
title_full New Approaches on Maintenance Management for Wind Turbines Based on Acoustic Inspection
title_fullStr New Approaches on Maintenance Management for Wind Turbines Based on Acoustic Inspection
title_full_unstemmed New Approaches on Maintenance Management for Wind Turbines Based on Acoustic Inspection
title_sort New Approaches on Maintenance Management for Wind Turbines Based on Acoustic Inspection
dc.creator.none.fl_str_mv García Márquez, Fausto Pedro
Bernalte Sánchez, Pedro José
author García Márquez, Fausto Pedro
author_facet García Márquez, Fausto Pedro
Bernalte Sánchez, Pedro José
author_role author
author2 Bernalte Sánchez, Pedro José
author2_role author
dc.subject.none.fl_str_mv Aerogeneradores
Turbina eólica
Energía renovable
topic Aerogeneradores
Turbina eólica
Energía renovable
description Nowadays, maintenance management is changing due to the new technologies in inspection and monitorization systems to reduce the production costs for the companies and risks for the operator. Maintenance management is a key factor in some industries as renewable energy, due to the high-cost consequences of a wrong failure detection in a wind turbine. Therefore, advances in condition monitoring systems are required for an early failure diagnosis. This paper contributes to the actual wind turbines diagnosis methods with a novel non-destructive inspection system based on acoustic analysis of the wind turbine condition. The paper presents a condition monitoring system based on an acoustic sensor embedded in an unmanned aerial vehicle to collect acoustic signals emitted by the wind turbine. The signals are sent to a ground remote-control centre, and then they are analysed. This data acquisition system needs of a qualitative and quantitative analysis to classify and identify the condition of the wind turbine. Wavelet transforms are employed for filtering the signals and pattern recognition. Several scenarios are considered and analysed considering the main mechanical parts and components of a wind turbine.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10578/26581
url http://hdl.handle.net/10578/26581
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/plain
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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