Condition Monitoring with Prediction Based on Diesel Engine Oil Analysis: A Case Study for Urban Buses
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
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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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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 |
repository.mail.fl_str_mv |
|
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1799134119522729984 |