Diesel Engine Maintenance System, Using Trend Analysis of Histroical Data (Case Study)

Abstract

Contaminant materials in lubricants are signs for prediction and measurement of wear in engines. Therefore oil monitoring is considered as one of the most effective techniques for maintaining the heavy equipments. However based on oil analysis data, the identification of engine problem is very hard due to different contribution factors. Hence, this paper is purposed to analyze the wear behavior of some sets of selected heavy equipment engine based on documented oil analysis data during two years in different conditions to track engine failures using trend analysis. Furthermore the selected equipments are divided into two major groups (plantation and forestry, and general construction) based on their environment, to show the effects of conditions on the engine wear behavior.

Analysing Operating Data to Measure the Maintenance Performance*

“…Literatures 15–17 studied maintenance optimization by analysing the maintenance and failure data. Sayyah et al focused on the maintenance policy based on the trend analysis of historical data. In this paper, daily, weekly, monthly and long‐term performance of corrective maintenance (CM for short) and PM analyses are presented on the basis of operating data.…”