Neural networks for condition monitoring of wind turbines gearbox

Detalhes bibliográficos
Autor(a) principal: Brandão, Roque Filipe Mesquita
Data de Publicação: 2012
Outros Autores: Carvalho, José Beleza, Barbosa, Fernando Maciel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/3894
Resumo: Wind energy is considered a hope in future as a clean and sustainable energy, as can be seen by the growing number of wind farms installed all over the world. With the huge proliferation of wind farms, as an alternative to the traditional fossil power generation, the economic issues dictate the necessity of monitoring systems to optimize the availability and profits. The relatively high cost of operation and maintenance associated to wind power is a major issue. Wind turbines are most of the time located in remote areas or offshore and these factors increase the referred operation and maintenance costs. Good maintenance strategies are needed to increase the health management of wind turbines. The objective of this paper is to show the application of neural networks to analyze all the wind turbine information to identify possible future failures, based on previous information of the turbine.
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spelling Neural networks for condition monitoring of wind turbines gearboxWind energyNeural networksCondition monitoringMaintenanceWind energy is considered a hope in future as a clean and sustainable energy, as can be seen by the growing number of wind farms installed all over the world. With the huge proliferation of wind farms, as an alternative to the traditional fossil power generation, the economic issues dictate the necessity of monitoring systems to optimize the availability and profits. The relatively high cost of operation and maintenance associated to wind power is a major issue. Wind turbines are most of the time located in remote areas or offshore and these factors increase the referred operation and maintenance costs. Good maintenance strategies are needed to increase the health management of wind turbines. The objective of this paper is to show the application of neural networks to analyze all the wind turbine information to identify possible future failures, based on previous information of the turbine.David Publishing CompanyRepositório Científico do Instituto Politécnico do PortoBrandão, Roque Filipe MesquitaCarvalho, José BelezaBarbosa, Fernando Maciel2014-02-14T15:15:17Z20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/3894eng1934-897510.17265/1934-8975/2012.04.017info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T12:43:44Zoai:recipp.ipp.pt:10400.22/3894Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:24:51.813444Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Neural networks for condition monitoring of wind turbines gearbox
title Neural networks for condition monitoring of wind turbines gearbox
spellingShingle Neural networks for condition monitoring of wind turbines gearbox
Brandão, Roque Filipe Mesquita
Wind energy
Neural networks
Condition monitoring
Maintenance
title_short Neural networks for condition monitoring of wind turbines gearbox
title_full Neural networks for condition monitoring of wind turbines gearbox
title_fullStr Neural networks for condition monitoring of wind turbines gearbox
title_full_unstemmed Neural networks for condition monitoring of wind turbines gearbox
title_sort Neural networks for condition monitoring of wind turbines gearbox
author Brandão, Roque Filipe Mesquita
author_facet Brandão, Roque Filipe Mesquita
Carvalho, José Beleza
Barbosa, Fernando Maciel
author_role author
author2 Carvalho, José Beleza
Barbosa, Fernando Maciel
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Brandão, Roque Filipe Mesquita
Carvalho, José Beleza
Barbosa, Fernando Maciel
dc.subject.por.fl_str_mv Wind energy
Neural networks
Condition monitoring
Maintenance
topic Wind energy
Neural networks
Condition monitoring
Maintenance
description Wind energy is considered a hope in future as a clean and sustainable energy, as can be seen by the growing number of wind farms installed all over the world. With the huge proliferation of wind farms, as an alternative to the traditional fossil power generation, the economic issues dictate the necessity of monitoring systems to optimize the availability and profits. The relatively high cost of operation and maintenance associated to wind power is a major issue. Wind turbines are most of the time located in remote areas or offshore and these factors increase the referred operation and maintenance costs. Good maintenance strategies are needed to increase the health management of wind turbines. The objective of this paper is to show the application of neural networks to analyze all the wind turbine information to identify possible future failures, based on previous information of the turbine.
publishDate 2012
dc.date.none.fl_str_mv 2012
2012-01-01T00:00:00Z
2014-02-14T15:15:17Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/3894
url http://hdl.handle.net/10400.22/3894
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1934-8975
10.17265/1934-8975/2012.04.017
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv David Publishing Company
publisher.none.fl_str_mv David Publishing Company
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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