Functional Indicators of Condition Monitoring Through Oil Analysis to Reduce Breakdowns and Increase Machinery Efficiency

Document Type : Research/ Original/ Regular Article

Authors

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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References

  • Eskandarzadeh Sabet,A.,& Torkaman K .(2020) Implementing Condition Monitoring In Wind Turbines To Reduce Maintenance Costs Using SCADA Data Analysis Method .Engineering And Quality Management.(In Persian)
  • On-Site Oil Analysis,.(2020). “Is It A Replacement For Lab Analysis?”

,Https://Www.Machinerylubrication.Com/Read/982/Onsite-Oil-Analysis-Lab

  • Yan, S., Biao, M. A., Wang, X., Chen, J., & Zheng, C. (2020). Maintenance Policy For Oil-Lubricated Systems With Oil Analysis Data Polityka Utrzymania Ruchu Układów Smarowanych Olejem W Oparciu O Dane Z Analizy Oleju. Eksploatacja I Niezawodnosc, 22(3), 455.
  • Harwood, J., & Aparicio, R. (Eds.). (2000). Handbook Of Olive Oil: Analysis And Properties (P. 620). Gaithersburg, MD: Aspen.
  • Pedregal, D. J., García, F. P., & Roberts, C. (2009). An Algorithmic Approach For Maintenance Management Based On Advanced State Space Systems And Harmonic Regressions. Annals Of Operations Research, 166(1), 109-124.
  • C. Fitch, D. D. Troyer, (1999).Oil Analysis Basics, Noria Corporation.
  • Degaspari, J. (1999). Recording Oil's Vital Signs. Mechanical Engineering, 121(05), 54-56.[3] Rao, B.
  • N. (1993). Profitable Condition Monitoring & Diagnostic Engineering Management. In Profitable Condition Monitoring (Pp. 37-44). Springer, Dordrecht.
  • Troyer, D. (1998). Why Oil Analysis Should Be Performed On Site. Noria Corporation, Oil Analysis. Com.
  • Joyce, C. S. (1996). U.S. Patent No. 5,537,336. Washington, DC: U.S. Patent And Trademark Office.
  • Harwood, J., & Aparicio, R. (Eds.). (2000). Handbook Of Olive Oil: Analysis And Properties (P. 620). Gaithersburg, MD: Aspen.
  • ASTM International, (2020). “What Is ASTM” ,Https://Fa.Wikipedia.Org.
  • ] Https://Www.Dnv.Com.
  • ] Rao, B. K. N. (Ed.). (2012). Profitable Condition Monitoring. Springer Science & Business Media.
  • Lukas, M., & Anderson, D. P. (1998). Laboratory Used Oil Analysis Methods. Tribology & Lubrication Technology, 54(11), 19.
  • Http://Standard.Isiri.Gov.I
  • Mohammed, M. (2021). “Application And Evaluation Of Multi-Sensor Fusion Technology In Diesel Engine Oil Analysis”–A Review (Doctoral Dissertation, Politecnico Di Torino).
  • Malaguti, R., Lourenço, N., & Silva, C. (2021, September). Wear And Tear: A Data Driven Analysis Of The Operating Condition Of Lubricant Oils. In IFIP International Conference On Advances In Production Management Systems (Pp. 217-225). Springer, Cham.

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History

  • Receive Date: 21 February 2022
  • Revise Date: 18 August 2022
  • Accept Date: 19 December 2022
  • Publish Date: 20 February 2023

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