Case Study on Improvement of Reliability Prediction Accuracy in Development Phase for Aircraft

항공기 개발단계에서의 신뢰도 예측 정확도 향상에 관한 사례연구

  • 김영일 (항공우주연구원 항공연구본부) ;
  • 변광식 (삼성테크윈 파워시스템연구소) ;
  • 김한태 (삼성테크윈 파워시스템연구소)
  • Received : 2009.11.16
  • Accepted : 2009.12.26
  • Published : 2009.12.31

Abstract

In development phase of the Aircraft Systems, the reliability prediction of electronic equipments are usually performed using MIL-HDBK-217. The reliability of fielded electronic systems, however, used to be underestimated with MIL-HDBK-217. To solve this problem, some alternatives are suggested and Telcordia SR-332 is among them. In this case study, the reliability of ESU which controls gas turbine engine is predicted using Telcordia SR-332 along with the development test data. The predicted reliabilities of ESU using Telcordia SR-332 and MIL-HDBK-217 are also compared. As a result this case study showed that the predicted reliability using Telcordia SR-332 was better close to field(operation) reliability than MIL-HDBK-217.

References

  1. Cougan, William P. and William G. Kindig., "A Real Life MTBF Growth Program for a Deployed Radar," Proceedings Annual Reliability and Maintainability Symposium, 1979, pp.121-127.
  2. Economou, Manthos., "The Merits and Limitations of Reliability Predictions," Proceedings Annual Reliability & Maintainability Symposium, 2004, pp.352-357.
  3. Harris, Norman and O'Connor, Patrick D.T., "Reliability Prediction: Improving the Crystal Ball," Proceedings Annual Reliability & Maintainability Symposium, 1984, pp.108-113.
  4. Hunter Unmanned Aerial Vehicle(UAV) System Reliability Growth Story, PM TUAV, Redstone Arsenal, 2001.
  5. Katherine C., Experts' opinions on the reliability gap and some practical guidelines on reliability growth, Air force inst of tech wright-patterson AFB OH, school of systems and logistics, 1988.
  6. Kern, G. A., "Operational Influences on Avionics Reliability," Proceedings Annual Reliability and Maintainability Symposium, 1978, pp.231-242.
  7. Kolston, J., et al., "Reliability Prediction Methodology Development," Proceedings Annual Reliability and Maintainability Symposium, 1983, pp.245-250.
  8. Lynch, Jeffery, B. and Phaller, Lawrence J., "Predicted vs. Test MTBF's....Why the Disparity?," Proceedings Annual Reliability & Maintainability Symposium, 1984, pp.117-122.
  9. MacDiarmid, Preston R., "Relating Factory and Field Reliability and Maintainability Measures," Proceedings Annual Reliability and Maintainability Symposium, 1985, pp.177-183.
  10. Mann, N. R. and Grubbs, F. E., "Approximately optimum confidence bounds for system reliability based on component test data," Technometrics, Vol.16, 1974, pp.335-347. https://doi.org/10.2307/1267663
  11. MIL-HDBK-217F N2, Reliability Prediction of Electronic Equipments, Department of Defense (DoD), Washington D.C, 1995.
  12. Miller, P.E. and Moore, R.I., "Field reliability versus predicted reliability: An analysis of rootcauses for the difference", Proceedings Annual Reliability and Maintainability Symposium, 1991, pp.405-410.
  13. Montemayor, A. J., Achieved versus Predicted Mean-Time-Between-Failures (MTBF), The Boeing Company, 1982.
  14. Muglia, V. O., et al., "MTBF Prediction techniques - A Comparative Analysis," Proceedings Annual Reliability and Maintainability Symposium, 1972, pp.510-519.
  15. Sarkar, T. K., "An exact lower confidence bound for the reliability of a series system where each component has an exponential time to failure distribution," Technometrics, Vol.13, 1971, pp.535-546. https://doi.org/10.2307/1267166
  16. Shelly, B. F. and F. A. Stovall., "Field - Laboratory Reliability Relationship," Proceedings Annual Reliability & Maintainability Symposium, 1976, pp.322-330.
  17. Telcordia SR-332 Issue 2, Reliability Prediction Procedure for Electronic Equipment, Telcordia Technologies, 2006.
  18. Tongdan Jin and Su, P., "Minimize system reliability variability based on six-sigma criteria considering component operational uncertainties," Proceedings Annual Reliability and Maintainability Symposium, 2005, pp.214-219.