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RAM factors in the operation and maintenance phase of wind turbines

Bibliographic Details
Main Author: Cajazeira, Carolina Leite Barbosa
Publication Date: 2012
Other Authors: Nunes, Eusébio P., Telhada, José, Carvalho, Mariana Teixeira Baptista de
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/21695
Summary: The high complexity of technological systems and the increasing requirement and competitiveness of markets request the implementation of adequate management strategies for these systems in order to improve their availability and productivity. In this context, RAM factors constitute a strategic approach for integrating reliability, availability and maintainability, by using methods, tools and engineering techniques to identify and quantify equipment and system failures that prevent the achievement of its objectives. This paper presents the most relevant aspects and findings of a study conducted for assessing the operational performance of a wind turbine system installed in a wind farm in Portugal. The study was based on the analysis of the behavior of states defined for each individual wind turbine over a period of two years, and was aimed to identify and evaluate the effects of RAM-type factors. Given the structure and nature of the data, a Markov Chain approach was adopted for this evaluation. The main finding was that the usage of a particular technique (the frequency and duration technique) is adequate to effectively evaluate the overall performance of the wind farm and find opportunities for improvements.
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spelling RAM factors in the operation and maintenance phase of wind turbinesRAM factorsReliabilityAvailabilityMaintainabilityThe high complexity of technological systems and the increasing requirement and competitiveness of markets request the implementation of adequate management strategies for these systems in order to improve their availability and productivity. In this context, RAM factors constitute a strategic approach for integrating reliability, availability and maintainability, by using methods, tools and engineering techniques to identify and quantify equipment and system failures that prevent the achievement of its objectives. This paper presents the most relevant aspects and findings of a study conducted for assessing the operational performance of a wind turbine system installed in a wind farm in Portugal. The study was based on the analysis of the behavior of states defined for each individual wind turbine over a period of two years, and was aimed to identify and evaluate the effects of RAM-type factors. Given the structure and nature of the data, a Markov Chain approach was adopted for this evaluation. The main finding was that the usage of a particular technique (the frequency and duration technique) is adequate to effectively evaluate the overall performance of the wind farm and find opportunities for improvements.This work is financed with FEDER Funds by Programa Operacional Fatores de Competitividade – COMPETE and by National Funds by FCT – Fundação para a Ciência e Tecnologia, Project: FCOMP-01-0124-FEDER- 022674Universidade do MinhoCajazeira, Carolina Leite BarbosaNunes, Eusébio P.Telhada, JoséCarvalho, Mariana Teixeira Baptista de2012-072012-07-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/21695enghttp://www.icieom.org/artigosicieom.aspinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T06:46:09Zoai:repositorium.sdum.uminho.pt:1822/21695Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T16:03:45.778065Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv RAM factors in the operation and maintenance phase of wind turbines
title RAM factors in the operation and maintenance phase of wind turbines
spellingShingle RAM factors in the operation and maintenance phase of wind turbines
Cajazeira, Carolina Leite Barbosa
RAM factors
Reliability
Availability
Maintainability
title_short RAM factors in the operation and maintenance phase of wind turbines
title_full RAM factors in the operation and maintenance phase of wind turbines
title_fullStr RAM factors in the operation and maintenance phase of wind turbines
title_full_unstemmed RAM factors in the operation and maintenance phase of wind turbines
title_sort RAM factors in the operation and maintenance phase of wind turbines
author Cajazeira, Carolina Leite Barbosa
author_facet Cajazeira, Carolina Leite Barbosa
Nunes, Eusébio P.
Telhada, José
Carvalho, Mariana Teixeira Baptista de
author_role author
author2 Nunes, Eusébio P.
Telhada, José
Carvalho, Mariana Teixeira Baptista de
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Cajazeira, Carolina Leite Barbosa
Nunes, Eusébio P.
Telhada, José
Carvalho, Mariana Teixeira Baptista de
dc.subject.por.fl_str_mv RAM factors
Reliability
Availability
Maintainability
topic RAM factors
Reliability
Availability
Maintainability
description The high complexity of technological systems and the increasing requirement and competitiveness of markets request the implementation of adequate management strategies for these systems in order to improve their availability and productivity. In this context, RAM factors constitute a strategic approach for integrating reliability, availability and maintainability, by using methods, tools and engineering techniques to identify and quantify equipment and system failures that prevent the achievement of its objectives. This paper presents the most relevant aspects and findings of a study conducted for assessing the operational performance of a wind turbine system installed in a wind farm in Portugal. The study was based on the analysis of the behavior of states defined for each individual wind turbine over a period of two years, and was aimed to identify and evaluate the effects of RAM-type factors. Given the structure and nature of the data, a Markov Chain approach was adopted for this evaluation. The main finding was that the usage of a particular technique (the frequency and duration technique) is adequate to effectively evaluate the overall performance of the wind farm and find opportunities for improvements.
publishDate 2012
dc.date.none.fl_str_mv 2012-07
2012-07-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/21695
url http://hdl.handle.net/1822/21695
dc.language.iso.fl_str_mv eng
language eng
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dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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