Preprint Article Version 1 This version is not peer-reviewed

Condition Monitoring with Prediction Based on Oil Engines of Urban Buses – A Case Study

Version 1 : Received: 6 November 2018 / Approved: 7 November 2018 / Online: 7 November 2018 (14:36:00 CET)

A peer-reviewed article of this Preprint also exists.

Raposo, H.; Farinha, J.T.; Fonseca, I.; Ferreira, L.A. Condition Monitoring with Prediction Based on Diesel Engine Oil Analysis: A Case Study for Urban Buses. Actuators 2019, 8, 14. Raposo, H.; Farinha, J.T.; Fonseca, I.; Ferreira, L.A. Condition Monitoring with Prediction Based on Diesel Engine Oil Analysis: A Case Study for Urban Buses. Actuators 2019, 8, 14.

Journal reference: Actuators 2019, 8, 14
DOI: 10.3390/act8010014

Abstract

The paper presents a case study and a model for condition monitoring of Diesel engines’ oil of urban buses, through the accompaniment of the evolution of its degradation, with the objective to implement a predictive maintenance policy. Along time, because the usage, there is some decay in the lubricant properties. However, in normal functioning conditions, the lubricants properties, at the time the manufacturers recommend its changing, regardless of they are within the safety limits. Then, based on the accompaniment of the lubricants’ oil condition, the intervals of oil replacement can be enlarged what implies the availability increasing and the corresponding production increasing of the equipment. The model presented in this paper shows its potential to be spread to other types of equipment and organisations that want can implement similar maintenance policies, to achieve the best availability based on the real equipment health conditioning conditions

Subject Areas

Condition monitoring; Predictive maintenance; Oil analysis; Urban buses.

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