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

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 interv...

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Main Authors:	Hugo Raposo, José Torres Farinha, Inácio Fonseca, L. Andrade Ferreira
Format:	Article
Language:	English
Published:	MDPI AG 2019-02-01
Series:	Actuators
Subjects:	condition monitoring predictive maintenance oil analysis urban buses
Online Access:	https://www.mdpi.com/2076-0825/8/1/14

id	doaj-e2687274a3ba4731afa1a06499c3b156
record_format	Article
spelling	doaj-e2687274a3ba4731afa1a06499c3b1562020-11-24T21:16:12ZengMDPI AGActuators2076-08252019-02-01811410.3390/act8010014act8010014Condition Monitoring with Prediction Based on Diesel Engine Oil Analysis: A Case Study for Urban BusesHugo Raposo0José Torres Farinha1Inácio Fonseca2L. Andrade Ferreira3Centre for Mechanical Engineering, Materials and Processes (CEMMPRE), University of Coimbra, 3030-788 Coimbra, PortugalCentre for Mechanical Engineering, Materials and Processes (CEMMPRE), University of Coimbra, 3030-788 Coimbra, PortugalCentre for Mechanical Engineering, Materials and Processes (CEMMPRE), University of Coimbra, 3030-788 Coimbra, PortugalFaculty of Engineering, University of Porto, 4200-465 Porto, PortugalThis 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.https://www.mdpi.com/2076-0825/8/1/14condition monitoringpredictive maintenanceoil analysisurban buses
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Hugo Raposo José Torres Farinha Inácio Fonseca L. Andrade Ferreira
spellingShingle	Hugo Raposo José Torres Farinha Inácio Fonseca L. Andrade Ferreira Condition Monitoring with Prediction Based on Diesel Engine Oil Analysis: A Case Study for Urban Buses Actuators condition monitoring predictive maintenance oil analysis urban buses
author_facet	Hugo Raposo José Torres Farinha Inácio Fonseca L. Andrade Ferreira
author_sort	Hugo Raposo
title	Condition Monitoring with Prediction Based on Diesel Engine Oil Analysis: A Case Study for 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
publisher	MDPI AG
series	Actuators
issn	2076-0825
publishDate	2019-02-01
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.
topic	condition monitoring predictive maintenance oil analysis urban buses
url	https://www.mdpi.com/2076-0825/8/1/14
work_keys_str_mv	AT hugoraposo conditionmonitoringwithpredictionbasedondieselengineoilanalysisacasestudyforurbanbuses AT josetorresfarinha conditionmonitoringwithpredictionbasedondieselengineoilanalysisacasestudyforurbanbuses AT inaciofonseca conditionmonitoringwithpredictionbasedondieselengineoilanalysisacasestudyforurbanbuses AT landradeferreira conditionmonitoringwithpredictionbasedondieselengineoilanalysisacasestudyforurbanbuses
_version_	1726016533242576896

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

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