Nonparametric estimation and bootstrap confidence intervals for the optimal maintenance time of a repairable system

Detalhes bibliográficos
Autor(a) principal: Gilardoni, Gustavo L.
Data de Publicação: 2013
Outros Autores: Oliveira, Maristela Dias de, Colosimo, Enrico A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFBA
Texto Completo: http://www.repositorio.ufba.br/ri/handle/ri/11885
Resumo: Texto completo. Acesso restrito. p. 113–124
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spelling Gilardoni, Gustavo L.Oliveira, Maristela Dias deColosimo, Enrico A.Gilardoni, Gustavo L.Oliveira, Maristela Dias deColosimo, Enrico A.2013-06-11T19:08:02Z2013-06-11T19:08:02Z20130167-9473http://www.repositorio.ufba.br/ri/handle/ri/11885v. 63Texto completo. Acesso restrito. p. 113–124Consider a repairable system operating under a maintenance strategy that calls for complete preventive repair actions at pre-scheduled times and minimal repair actions whenever a failure occurs. Under minimal repair, the failures are assumed to follow a nonhomogeneous Poisson process with an increasing intensity function. This paper departs from the usual power-law-process parametric approach by using the constrained nonparametric maximum likelihood estimate of the intensity function to estimate the optimum preventive maintenance policy. Several strategies to bootstrap the failure times and construct confidence intervals for the optimal maintenance periodicity are presented and discussed. The methodology is applied to a real data set concerning the failure histories of a set of power transformers.Submitted by Santiago Fabio (fabio.ssantiago@hotmail.com) on 2013-06-11T19:08:02Z No. of bitstreams: 1 2222222.pdf: 483353 bytes, checksum: a0363b9176f5f288889ad050c0e5dd30 (MD5)Made available in DSpace on 2013-06-11T19:08:02Z (GMT). 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dc.title.pt_BR.fl_str_mv Nonparametric estimation and bootstrap confidence intervals for the optimal maintenance time of a repairable system
dc.title.alternative.pt_BR.fl_str_mv Computational Statistics & Data Analysis
title Nonparametric estimation and bootstrap confidence intervals for the optimal maintenance time of a repairable system
spellingShingle Nonparametric estimation and bootstrap confidence intervals for the optimal maintenance time of a repairable system
Gilardoni, Gustavo L.
Bounded intensity models
Constrained maximum likelihood estimation
Greatest convex minorant
Minimal repair
Poisson process
Power law process
title_short Nonparametric estimation and bootstrap confidence intervals for the optimal maintenance time of a repairable system
title_full Nonparametric estimation and bootstrap confidence intervals for the optimal maintenance time of a repairable system
title_fullStr Nonparametric estimation and bootstrap confidence intervals for the optimal maintenance time of a repairable system
title_full_unstemmed Nonparametric estimation and bootstrap confidence intervals for the optimal maintenance time of a repairable system
title_sort Nonparametric estimation and bootstrap confidence intervals for the optimal maintenance time of a repairable system
author Gilardoni, Gustavo L.
author_facet Gilardoni, Gustavo L.
Oliveira, Maristela Dias de
Colosimo, Enrico A.
author_role author
author2 Oliveira, Maristela Dias de
Colosimo, Enrico A.
author2_role author
author
dc.contributor.author.fl_str_mv Gilardoni, Gustavo L.
Oliveira, Maristela Dias de
Colosimo, Enrico A.
Gilardoni, Gustavo L.
Oliveira, Maristela Dias de
Colosimo, Enrico A.
dc.subject.por.fl_str_mv Bounded intensity models
Constrained maximum likelihood estimation
Greatest convex minorant
Minimal repair
Poisson process
Power law process
topic Bounded intensity models
Constrained maximum likelihood estimation
Greatest convex minorant
Minimal repair
Poisson process
Power law process
description Texto completo. Acesso restrito. p. 113–124
publishDate 2013
dc.date.accessioned.fl_str_mv 2013-06-11T19:08:02Z
dc.date.available.fl_str_mv 2013-06-11T19:08:02Z
dc.date.issued.fl_str_mv 2013
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://www.repositorio.ufba.br/ri/handle/ri/11885
dc.identifier.issn.none.fl_str_mv 0167-9473
dc.identifier.number.pt_BR.fl_str_mv v. 63
identifier_str_mv 0167-9473
v. 63
url http://www.repositorio.ufba.br/ri/handle/ri/11885
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Computational Statistics & Data Analysis
publisher.none.fl_str_mv Computational Statistics & Data Analysis
dc.source.pt_BR.fl_str_mv http://dx.doi.org/10.1016/j.csda.2013.02.006
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFBA
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