Testing and preventive maintenance scheduling optimization for aging systems modeled by generalized renewal process

Detalhes bibliográficos
Autor(a) principal: Damaso,Vinícius Correa
Data de Publicação: 2009
Outros Autores: Garcia,Pauli Adriano de Almada
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382009000300006
Resumo: The use of stochastic point processes to model the reliability of repairable systems has been a regular approach to establish survival measures in failure versus repair scenarios. However, the traditional processes do not consider the actual state in which an item returns to operational condition. The traditional renewal process considers an "as-good-as-new" philosophy, while a non-homogeneous Poisson process is based on the minimal repair concept. In this work, an approach based on the concept of Generalized Renewal Process (GRP) is presented, which is a generalization of the renewal process and the non-homogeneous Poisson process. A stochastic modeling is presented for systems availability analysis, including testing and/or preventive maintenances scheduling. To validate the proposed approach, it was performed a case study of a hypothetical auxiliary feed-water system of a nuclear power plant, using genetic algorithm as optimization tool.
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spelling Testing and preventive maintenance scheduling optimization for aging systems modeled by generalized renewal processavailabilitygeneralized renewal processgenetic algorithmsThe use of stochastic point processes to model the reliability of repairable systems has been a regular approach to establish survival measures in failure versus repair scenarios. However, the traditional processes do not consider the actual state in which an item returns to operational condition. The traditional renewal process considers an "as-good-as-new" philosophy, while a non-homogeneous Poisson process is based on the minimal repair concept. In this work, an approach based on the concept of Generalized Renewal Process (GRP) is presented, which is a generalization of the renewal process and the non-homogeneous Poisson process. A stochastic modeling is presented for systems availability analysis, including testing and/or preventive maintenances scheduling. To validate the proposed approach, it was performed a case study of a hypothetical auxiliary feed-water system of a nuclear power plant, using genetic algorithm as optimization tool.Sociedade Brasileira de Pesquisa Operacional2009-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382009000300006Pesquisa Operacional v.29 n.3 2009reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/S0101-74382009000300006info:eu-repo/semantics/openAccessDamaso,Vinícius CorreaGarcia,Pauli Adriano de Almadaeng2010-02-03T00:00:00Zoai:scielo:S0101-74382009000300006Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2010-02-03T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv Testing and preventive maintenance scheduling optimization for aging systems modeled by generalized renewal process
title Testing and preventive maintenance scheduling optimization for aging systems modeled by generalized renewal process
spellingShingle Testing and preventive maintenance scheduling optimization for aging systems modeled by generalized renewal process
Damaso,Vinícius Correa
availability
generalized renewal process
genetic algorithms
title_short Testing and preventive maintenance scheduling optimization for aging systems modeled by generalized renewal process
title_full Testing and preventive maintenance scheduling optimization for aging systems modeled by generalized renewal process
title_fullStr Testing and preventive maintenance scheduling optimization for aging systems modeled by generalized renewal process
title_full_unstemmed Testing and preventive maintenance scheduling optimization for aging systems modeled by generalized renewal process
title_sort Testing and preventive maintenance scheduling optimization for aging systems modeled by generalized renewal process
author Damaso,Vinícius Correa
author_facet Damaso,Vinícius Correa
Garcia,Pauli Adriano de Almada
author_role author
author2 Garcia,Pauli Adriano de Almada
author2_role author
dc.contributor.author.fl_str_mv Damaso,Vinícius Correa
Garcia,Pauli Adriano de Almada
dc.subject.por.fl_str_mv availability
generalized renewal process
genetic algorithms
topic availability
generalized renewal process
genetic algorithms
description The use of stochastic point processes to model the reliability of repairable systems has been a regular approach to establish survival measures in failure versus repair scenarios. However, the traditional processes do not consider the actual state in which an item returns to operational condition. The traditional renewal process considers an "as-good-as-new" philosophy, while a non-homogeneous Poisson process is based on the minimal repair concept. In this work, an approach based on the concept of Generalized Renewal Process (GRP) is presented, which is a generalization of the renewal process and the non-homogeneous Poisson process. A stochastic modeling is presented for systems availability analysis, including testing and/or preventive maintenances scheduling. To validate the proposed approach, it was performed a case study of a hypothetical auxiliary feed-water system of a nuclear power plant, using genetic algorithm as optimization tool.
publishDate 2009
dc.date.none.fl_str_mv 2009-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382009000300006
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382009000300006
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0101-74382009000300006
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
dc.source.none.fl_str_mv Pesquisa Operacional v.29 n.3 2009
reponame:Pesquisa operacional (Online)
instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
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instname_str Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
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reponame_str Pesquisa operacional (Online)
collection Pesquisa operacional (Online)
repository.name.fl_str_mv Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
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