عنوان مقاله [English]
نویسندگان [English]چکیده [English]
Every industrial company will confront unforeseen and high expenses if there is not a plan for machinery
maintenance. In such cases, spare part expenses and outcome decrease due to machinery stop are
two main obstacles which hinder a company’s progress. Today, condition monitoring technology via oil
analysis has been known as an effective method in determining abnormal wear or faults in instruments
and mechanical systems. In this study, condition monitoring via oil analysis as a maintenance procedure as
well as a method for applying this way in an affective CM plan have been introduced. Thus, wear pattern
in diesel engine has been studied. A logical relation among engine state and wear particles such as Fe, Al,
Cr, Pb, Cu, Si, Vis40, PQ, TBN and water contamination in oil analysis report will be drawn. As a sample,
oil analysis reports of a Benz 2628 vehicle have been analyzed. Recognizing the logical relation between oil
analysis report and engine part failures can be written in the form of fuzzy rules such as an expert knowledge.
Finally, diesel engine failures will be predicted by this fuzzy program.