Condition Monitoring with Prediction Based on Diesel Engine Oil Analysis: A Case Study for Urban Buses

Detalhes bibliográficos
Autor(a) principal: Raposo, Hugo
Data de Publicação: 2019
Outros Autores: Farinha, Torres, Fonseca, Inácio, Ferreira, L. Andrade
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/106789
https://doi.org/10.3390/act8010014
Resumo: This paper presents a case study and a model to predict maintenance interventions based on condition monitoring of diesel engine oil in urban buses by accompanying the evolution of its degradation. Many times, under normal functioning conditions, the properties of the lubricants, based on the intervals that manufacturers recommend for its change, are within normal and safety conditions. Then, if the lubricants’ oil condition is adequately accompanied, until reaching the degradation limits, the intervals of oil replacement can be enlarged, meaning that the buses’ availability increases, as well as their corresponding production time. Based on this assumption, a mathematical model to follow and to manage the oil condition is presented, in order to predict the next intervention with the maximum time between them, which means the maximum availability.
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spelling Condition Monitoring with Prediction Based on Diesel Engine Oil Analysis: A Case Study for Urban Busescondition monitoringpredictive maintenanceoil analysisurban busesThis paper presents a case study and a model to predict maintenance interventions based on condition monitoring of diesel engine oil in urban buses by accompanying the evolution of its degradation. Many times, under normal functioning conditions, the properties of the lubricants, based on the intervals that manufacturers recommend for its change, are within normal and safety conditions. Then, if the lubricants’ oil condition is adequately accompanied, until reaching the degradation limits, the intervals of oil replacement can be enlarged, meaning that the buses’ availability increases, as well as their corresponding production time. Based on this assumption, a mathematical model to follow and to manage the oil condition is presented, in order to predict the next intervention with the maximum time between them, which means the maximum availability.MDPI2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/106789http://hdl.handle.net/10316/106789https://doi.org/10.3390/act8010014eng2076-0825Raposo, HugoFarinha, TorresFonseca, InácioFerreira, L. Andradeinfo: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:RCAAP2023-04-21T11:58:51Zoai:estudogeral.uc.pt:10316/106789Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:23:11.515073Repositório 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 Condition Monitoring with Prediction Based on Diesel Engine Oil Analysis: A Case Study for Urban Buses
title Condition Monitoring with Prediction Based on Diesel Engine Oil Analysis: A Case Study for Urban Buses
spellingShingle Condition Monitoring with Prediction Based on Diesel Engine Oil Analysis: A Case Study for Urban Buses
Raposo, Hugo
condition monitoring
predictive maintenance
oil analysis
urban buses
title_short Condition Monitoring with Prediction Based on Diesel Engine Oil Analysis: A Case Study for Urban Buses
title_full Condition Monitoring with Prediction Based on Diesel Engine Oil Analysis: A Case Study for Urban Buses
title_fullStr Condition Monitoring with Prediction Based on Diesel Engine Oil Analysis: A Case Study for Urban Buses
title_full_unstemmed Condition Monitoring with Prediction Based on Diesel Engine Oil Analysis: A Case Study for Urban Buses
title_sort Condition Monitoring with Prediction Based on Diesel Engine Oil Analysis: A Case Study for Urban Buses
author Raposo, Hugo
author_facet Raposo, Hugo
Farinha, Torres
Fonseca, Inácio
Ferreira, L. Andrade
author_role author
author2 Farinha, Torres
Fonseca, Inácio
Ferreira, L. Andrade
author2_role author
author
author
dc.contributor.author.fl_str_mv Raposo, Hugo
Farinha, Torres
Fonseca, Inácio
Ferreira, L. Andrade
dc.subject.por.fl_str_mv condition monitoring
predictive maintenance
oil analysis
urban buses
topic condition monitoring
predictive maintenance
oil analysis
urban buses
description This paper presents a case study and a model to predict maintenance interventions based on condition monitoring of diesel engine oil in urban buses by accompanying the evolution of its degradation. Many times, under normal functioning conditions, the properties of the lubricants, based on the intervals that manufacturers recommend for its change, are within normal and safety conditions. Then, if the lubricants’ oil condition is adequately accompanied, until reaching the degradation limits, the intervals of oil replacement can be enlarged, meaning that the buses’ availability increases, as well as their corresponding production time. Based on this assumption, a mathematical model to follow and to manage the oil condition is presented, in order to predict the next intervention with the maximum time between them, which means the maximum availability.
publishDate 2019
dc.date.none.fl_str_mv 2019
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/10316/106789
http://hdl.handle.net/10316/106789
https://doi.org/10.3390/act8010014
url http://hdl.handle.net/10316/106789
https://doi.org/10.3390/act8010014
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2076-0825
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
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
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