1
phd student mechanical engineering, faculty of mechanical engineering , semnan university
2
Phd student futures studies, faculty of industry, ivanaki university
3
Assistant Professor,, Department of Technology and Strategy, faculty of Management and Industrial Engineering, Malek Ashtar University of Technology, Tehran, Iran
Abstract
The existence of a proper system for machine maintenance is an effective factor in the proper operation of the machine and reduction in maintenance costs. Condition-based maintenance, which is actually the most efficient method of maintenance, is done with different methods, the most important of which is the oil analysis method. In the oil analysis method, the properties and different materials resulting from the erosion and degradation of the oil of different parts of machines such as engine, gearbox, hydraulics, etc. are examined. The analysis of the results of different oil tests is based on the allowed amounts of erosion particles and other characteristics and components in the oil. The basis of the oil analysis is to represent the exact state of the active machine in a certain period of time. In this paper, with the approach of theoretical and field studies and using the information of more than 3000 construction machines, some ranges of functional indicators of the results of oil analysis are presented to reduce breakdowns and increase the efficiency of machines.
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eskandarzadeh sabet,A , habibi,H and nazarizadeh,F . (2023). Functional Indicators of Condition Monitoring Through Oil Analysis to Reduce Breakdowns and Increase Machinery Efficiency. Supply Chain Management, 24(77), 1-8.
MLA
eskandarzadeh sabet,A , , habibi,H , and nazarizadeh,F . "Functional Indicators of Condition Monitoring Through Oil Analysis to Reduce Breakdowns and Increase Machinery Efficiency", Supply Chain Management, 24, 77, 2023, 1-8.
HARVARD
eskandarzadeh sabet A, habibi H, nazarizadeh F. (2023). 'Functional Indicators of Condition Monitoring Through Oil Analysis to Reduce Breakdowns and Increase Machinery Efficiency', Supply Chain Management, 24(77), pp. 1-8.
CHICAGO
A eskandarzadeh sabet, H habibi and F nazarizadeh, "Functional Indicators of Condition Monitoring Through Oil Analysis to Reduce Breakdowns and Increase Machinery Efficiency," Supply Chain Management, 24 77 (2023): 1-8,
VANCOUVER
eskandarzadeh sabet A, habibi H, nazarizadeh F. Functional Indicators of Condition Monitoring Through Oil Analysis to Reduce Breakdowns and Increase Machinery Efficiency. Supply Chain Management. 2023;24(77):1-8 (In Persian).