Title: Design of an expert system based on fuzzy logic for real-time oil condition monitoring and fault diagnosis in heavy-duty diesel engines

Authors: Hamed Niknafs; Gh. Reza Zarepour; Morteza Faridkhah

Addresses: Department of Mechanical Engineering, Faculty of Engineering, University of Guilan, 6th Km of Qazvin Rd., Rasht, Guilan, Iran ' Department of Mechanical Engineering, Faculty of Engineering, University of Guilan, 6th Km of Qazvin Rd., Rasht, Guilan, Iran ' Department of Mechanical Engineering, Faculty of Engineering, University of Guilan, 6th Km of Qazvin Rd., Rasht, Guilan, Iran

Abstract: Determination of useful life for lubricant oils has always been a major concern in industrial maintenance area. Especially, in case of combustion engines experiences have shown due to many uncontrollable external-internal factors affecting oil life, predefined life intervals in many cases would not be reliable and may be followed by engine wear-out or lubricant loss. Online condition monitoring can be implemented as the most effective method to discover oil degradation and suitable replacement time. In this study to systematic analysis of engine oil condition, the oil quality level has been established as a quantitative concept and implemented in the form of a fuzzy system. This system has used as a control unit to interpret data from a real-time measurement block of oil critical characteristics. Software results follow lab results satisfactorily and show using system will lead to achieve higher reliability and maintenance characteristics of the oil and engine as well.

Keywords: engine oil; condition monitoring; diesel engine; oil degradation; fuzzy system.

DOI: 10.1504/IJQET.2023.132469

International Journal of Quality Engineering and Technology, 2023 Vol.9 No.3, pp.211 - 239

Received: 03 Mar 2022
Accepted: 03 Sep 2022
Published online: 21 Jul 2023 *

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