Maintenance strategy based on reliability functions for an oil centrifugal pump

Detalhes bibliográficos
Autor(a) principal: Mengue, Denis Carlos
Data de Publicação: 2013
Outros Autores: Sellitto, Miguel Afonso
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista Produção Online
Texto Completo: https://www.producaoonline.org.br/rpo/article/view/1341
Resumo: The purpose of this article was to define the most appropriate maintenance strategy for a centrifugal pump (preventive, predictive, corrective or emergency), based on reliability calculation. The research method was the quantitative modeling, applied in a petroleum plant. The study may contribute to the development of a strategic model for the management of the industrial plant maintenance. In the company's information system, records of eleven years have been gathered on times between failures and times for repair of the equipment. These times were modeled by probability distributions. From the results obtained were calculated Reliability and Maintainability functions R(t) and M(t). By combining their expected values (MTBF and MTTR), Av availability was calculated. The figures for MTBF, MTTR and Av were respectively 3,936 hours, 133 hours and 96.73%. The most likely shape factor of the Weibull distribution which modeled the time between failures was 0.69. So, it was possible to affirm that the pump is in the infant mortality phase. The theoretical framework of RCM indicated corrective  maintenance as the strategy for the item. This strategy aims to eliminate the defects of equipment design, reinforce items that usually break and remove the causes of the failures.
id ABEPRO-2_a9064520d5748798edc5e11f5834ee25
oai_identifier_str oai:ojs.emnuvens.com.br:article/1341
network_acronym_str ABEPRO-2
network_name_str Revista Produção Online
repository_id_str
spelling Maintenance strategy based on reliability functions for an oil centrifugal pumpEstratégia de manutenção baseada em funções de confiabilidade para uma bomba centrífuga petrolíferaRCM. Reliability. Maintainability. Weibull Analysis. Maintenance.RCM. Confiabilidade. Mantenabilidade. Análise de Weibull. Manutenção.The purpose of this article was to define the most appropriate maintenance strategy for a centrifugal pump (preventive, predictive, corrective or emergency), based on reliability calculation. The research method was the quantitative modeling, applied in a petroleum plant. The study may contribute to the development of a strategic model for the management of the industrial plant maintenance. In the company's information system, records of eleven years have been gathered on times between failures and times for repair of the equipment. These times were modeled by probability distributions. From the results obtained were calculated Reliability and Maintainability functions R(t) and M(t). By combining their expected values (MTBF and MTTR), Av availability was calculated. The figures for MTBF, MTTR and Av were respectively 3,936 hours, 133 hours and 96.73%. The most likely shape factor of the Weibull distribution which modeled the time between failures was 0.69. So, it was possible to affirm that the pump is in the infant mortality phase. The theoretical framework of RCM indicated corrective  maintenance as the strategy for the item. This strategy aims to eliminate the defects of equipment design, reinforce items that usually break and remove the causes of the failures.O objetivo deste artigo foi definir a estratégia de manutenção mais adequada para uma bomba centrífuga (preventiva, preditiva, corretiva ou emergencial), com base em cálculos de confiabilidade. O método de pesquisa foi a modelagem quantitativa, aplicada em uma planta petrolífera. O estudo pode contribuir para o aprimoramento de um modelo estratégico para a gestão da manutenção industrial da planta. Foram levantados, no sistema de informações da empresa, registros de onze anos dos tempos entre falhas e dos tempos para reparo do equipamento. Estes tempos foram modelados por distribuições de probabilidade. A partir dos resultados obtidos, foram calculadas as funções Confiabilidade R(t) e Mantenabilidade M(t). Pela combinação de seus valores esperados (MTBF e MTTR), foi calculada a disponibilidade Av da bomba. Os valores para MTBF, MTTR e Av foram respectivamente 3.936 horas, 133 horas e 96,73%. O fator de forma mais provável da distribuição de Weibull que modelou o tempo até a falha foi de 0,69. Com isso, foi possível afirmar que a bomba está em fase de mortalidade infantil. Pelo referencial teórico da RCM, a estratégia de manutenção indicada é a corretiva. Esta estratégia visa eliminar os defeitos de projeto do equipamento, reforçar os itens que quebraram e remover as causas de origem das falhas.Associação Brasileira de Engenharia de Produção2013-06-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfaudio/mpeghttps://www.producaoonline.org.br/rpo/article/view/134110.14488/1676-1901.v13i2.1341Revista Produção Online; Vol. 13 No. 2 (2013); 759-783Revista Produção Online; v. 13 n. 2 (2013); 759-7831676-1901reponame:Revista Produção Onlineinstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROporhttps://www.producaoonline.org.br/rpo/article/view/1341/1032https://www.producaoonline.org.br/rpo/article/view/1341/1033Copyright (c) 2014 Revista Produção Onlineinfo:eu-repo/semantics/openAccessMengue, Denis CarlosSellitto, Miguel Afonso2015-11-11T17:25:44Zoai:ojs.emnuvens.com.br:article/1341Revistahttp://producaoonline.org.br/rpoPUBhttps://www.producaoonline.org.br/rpo/oai||producaoonline@gmail.com1676-19011676-1901opendoar:2015-11-11T17:25:44Revista Produção Online - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv Maintenance strategy based on reliability functions for an oil centrifugal pump
Estratégia de manutenção baseada em funções de confiabilidade para uma bomba centrífuga petrolífera
title Maintenance strategy based on reliability functions for an oil centrifugal pump
spellingShingle Maintenance strategy based on reliability functions for an oil centrifugal pump
Mengue, Denis Carlos
RCM. Reliability. Maintainability. Weibull Analysis. Maintenance.
RCM. Confiabilidade. Mantenabilidade. Análise de Weibull. Manutenção.
title_short Maintenance strategy based on reliability functions for an oil centrifugal pump
title_full Maintenance strategy based on reliability functions for an oil centrifugal pump
title_fullStr Maintenance strategy based on reliability functions for an oil centrifugal pump
title_full_unstemmed Maintenance strategy based on reliability functions for an oil centrifugal pump
title_sort Maintenance strategy based on reliability functions for an oil centrifugal pump
author Mengue, Denis Carlos
author_facet Mengue, Denis Carlos
Sellitto, Miguel Afonso
author_role author
author2 Sellitto, Miguel Afonso
author2_role author
dc.contributor.author.fl_str_mv Mengue, Denis Carlos
Sellitto, Miguel Afonso
dc.subject.por.fl_str_mv RCM. Reliability. Maintainability. Weibull Analysis. Maintenance.
RCM. Confiabilidade. Mantenabilidade. Análise de Weibull. Manutenção.
topic RCM. Reliability. Maintainability. Weibull Analysis. Maintenance.
RCM. Confiabilidade. Mantenabilidade. Análise de Weibull. Manutenção.
description The purpose of this article was to define the most appropriate maintenance strategy for a centrifugal pump (preventive, predictive, corrective or emergency), based on reliability calculation. The research method was the quantitative modeling, applied in a petroleum plant. The study may contribute to the development of a strategic model for the management of the industrial plant maintenance. In the company's information system, records of eleven years have been gathered on times between failures and times for repair of the equipment. These times were modeled by probability distributions. From the results obtained were calculated Reliability and Maintainability functions R(t) and M(t). By combining their expected values (MTBF and MTTR), Av availability was calculated. The figures for MTBF, MTTR and Av were respectively 3,936 hours, 133 hours and 96.73%. The most likely shape factor of the Weibull distribution which modeled the time between failures was 0.69. So, it was possible to affirm that the pump is in the infant mortality phase. The theoretical framework of RCM indicated corrective  maintenance as the strategy for the item. This strategy aims to eliminate the defects of equipment design, reinforce items that usually break and remove the causes of the failures.
publishDate 2013
dc.date.none.fl_str_mv 2013-06-09
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.producaoonline.org.br/rpo/article/view/1341
10.14488/1676-1901.v13i2.1341
url https://www.producaoonline.org.br/rpo/article/view/1341
identifier_str_mv 10.14488/1676-1901.v13i2.1341
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://www.producaoonline.org.br/rpo/article/view/1341/1032
https://www.producaoonline.org.br/rpo/article/view/1341/1033
dc.rights.driver.fl_str_mv Copyright (c) 2014 Revista Produção Online
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2014 Revista Produção Online
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
audio/mpeg
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
dc.source.none.fl_str_mv Revista Produção Online; Vol. 13 No. 2 (2013); 759-783
Revista Produção Online; v. 13 n. 2 (2013); 759-783
1676-1901
reponame:Revista Produção Online
instname:Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron:ABEPRO
instname_str Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron_str ABEPRO
institution ABEPRO
reponame_str Revista Produção Online
collection Revista Produção Online
repository.name.fl_str_mv Revista Produção Online - Associação Brasileira de Engenharia de Produção (ABEPRO)
repository.mail.fl_str_mv ||producaoonline@gmail.com
_version_ 1761536948898365440