Condition Monitoring of Diesel Engine via Oil Analysis Using Fuzzy Logic

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 aintenance 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.