Optimal Maintenance Cycle Plan of Aerial Weapon System Radar Considering Maintenance Cost

운영유지 비용을 고려한 항공무기체계 레이다의 최적정비주기 설정 방안

  • Tak, Jung Ho (Department of Industrial and Management Engineering, Daegu University) ;
  • Jung, Won (Department of Industrial and Management Engineering, Daegu University)
  • 탁정호 (대구대학교 산업경영공학과) ;
  • 정원 (대구대학교 산업경영공학과)
  • Received : 2018.05.17
  • Accepted : 2018.06.15
  • Published : 2018.06.25

Abstract

Purpose: The purpose of this study is to propose a method to calculate the optimal preventive maintenance cycle of radar used in the aviation weapon system of ROKAF. Methods: A hybrid model is used to estimate the optimal preventive maintenance cycle in a system that can perform condition based predictive maintenance (CBPM) through continuous diagnosis. The failure data of the radars operating in the military were used to calculate the reliability. Results: According to the research results, the reliability threshold of the radar began to decrease after 5 flights, and decreased rapidly after 12 flights. Since the second check, costs have continued to decline. Conclusion: A method is proposed to determine the cycle of optimal preventive maintenance of radar within operational budget through modeling results between reliability limit and cost for radar. The results can be used to determine the optimal preventive maintenance cycle and frequency of various avionics equipment.

Keywords

References

  1. National Research Council, Division on Engineering and Physical Sciences (2001). "Aging Avionics in Military Aircraft".
  2. Recht, M. and Ramappan, V. (1992). "Are Components still the majar problem: A review of electronic system and device field failure returns". IEEE Transactions on Components, Hybrids and Manufacturing Technology, Vol. 15, No. 6. pp. 182-216.
  3. Moir, A. G. and Seabridge, M. J. (2006). "Military Avionics Systems". Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ, John Wiley & Sons Ltd. England, pp. 99-181.
  4. Lee, W. J. and Lim, D. J., and Shin, I. S. (2017). "Study on the interface data between avionics and AESA RADAR for multi-role fighter". Journal of applied Aeronautical and Space Sciences, pp. 1124-1125.
  5. Zhou, X., Xi, L., and Lee, J. (2007). "Reliability-centered predictive maintenance scheduling for a continuously monitored system subject to degradation". Reliability Engineering and System Safety, Vol. 92, pp. 530-534. https://doi.org/10.1016/j.ress.2006.01.006
  6. Nakagawa, T. (1984). "Optimal policy of continuous and discrete replacement with minimal repair at failure". Nav Res Logist Q, pp. 543-550.
  7. Canfield, R. V. (1986). "Cost optimization of periodic preventive maintenance". IEEE Trans Reliab, pp. 78-81.
  8. Sheu, S. H., Griffith, W. S., and Nakagawa, T. (1995). "Extended optimal replacement model with random minimal repair costs". Eur J Oper Res, pp. 425-438.
  9. Nakagawa, T. (1988). "Sequential imperfect preventive maintenance policies". IEEE Tran Relib, pp. 295-298.
  10. Martorell, S., Sanchez, A., and Serradell, V. (1999). "Age dependent reliability model considering effect of maintenance and working condition". Reliab Eng Syst Saf, pp. 19-31.
  11. Mobley, R. K. (1989). "An introduction to predictive maintenance". New York Butterworth Heinemann.
  12. Kim, I. S. and Jung, W. (2015). "Comparison of RAM target value and operation data in air weapon system". Journal of applied reliability, Vol. 15, No. 4. pp. 282-288.
  13. Kirkland, L. L. Pombo, T., Nelson, K. J., and Berghout, F. (2003). "Avionics Health Management; Searching for the Prognostic Grail". IEEEAC Paper No. 1205.
  14. Jayabalan, V. and Chaudhuri, D. (1992). "Cost optimization of maintenance scheduling for system with assured reliability". IEEE Trans Reliab, pp. 21-25.
  15. Chan, J. K. (1993). "Modeling repairable systems with failure rates that depends on age and maintenance". IEEE Trans Reliab, pp. 566-571.