Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/106789
Title: Condition Monitoring with Prediction Based on Diesel Engine Oil Analysis: A Case Study for Urban Buses
Authors: Raposo, Hugo 
Farinha, Torres 
Fonseca, Inácio 
Ferreira, L. Andrade
Keywords: condition monitoring; predictive maintenance; oil analysis; urban buses
Issue Date: 2019
Publisher: MDPI
metadata.degois.publication.title: Actuators
metadata.degois.publication.volume: 8
metadata.degois.publication.issue: 1
Abstract: 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.
URI: https://hdl.handle.net/10316/106789
ISSN: 2076-0825
DOI: 10.3390/act8010014
Rights: openAccess
Appears in Collections:I&D CEMMPRE - Artigos em Revistas Internacionais

Show full item record

SCOPUSTM   
Citations

42
checked on Oct 14, 2024

WEB OF SCIENCETM
Citations

25
checked on Oct 2, 2024

Page view(s)

103
checked on Oct 29, 2024

Download(s)

39
checked on Oct 29, 2024

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons