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항공전자장비의 운용자료 분석을 통한 신뢰성 성장 연구

A Study on Reliability Growth through Failure Analysis by Operational Data of Avionic Equipments

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주제분류산업공학

초록

In aerospace industry, MTBF (Mean Time Between Failure) and MFTBF (Mean Flight Time Between Failure) are generallyused for reliability analysis. So far, especially to Korean military aircraft, MFTBF of avionic equipments is predicted byMIL-HDBK-217 and MIL-HDBK-338, however, the predicted MFTBF by military standard has a wide discrepancy to that ofreal-world operation, which leads to overstock and increase operation cost. This study analyzes operational data of avionicequipments. Operational MFTBF, which is calculated from operational data, is compared with predicted MFTBF calculated conventionallyby military standard. In addition, failure rate trend is investigated to verify reliability growth in operational data, theinvestigation shows that failure rate curve from operational data has somewhat pattern with decreased failure rate and constantfailure rate.

Abstract

In aerospace industry, MTBF (Mean Time Between Failure) and MFTBF (Mean Flight Time Between Failure) are generallyused for reliability analysis. So far, especially to Korean military aircraft, MFTBF of avionic equipments is predicted byMIL-HDBK-217 and MIL-HDBK-338, however, the predicted MFTBF by military standard has a wide discrepancy to that ofreal-world operation, which leads to overstock and increase operation cost. This study analyzes operational data of avionicequipments. Operational MFTBF, which is calculated from operational data, is compared with predicted MFTBF calculated conventionallyby military standard. In addition, failure rate trend is investigated to verify reliability growth in operational data, theinvestigation shows that failure rate curve from operational data has somewhat pattern with decreased failure rate and constantfailure rate.

참고문헌 (16)

  1. Crow, L.H., "Planning a Reliability Growth Program Utilizing Historical Data", Reliability and Maintainability Symposium (2011)
  2. Duane, J.T., "Learning curee approach to reliability monitoring", IEEE Transactions on Aerospace, 2(2), pp.563~566 (1964)
  3. Jeon, T.-B., "An Overview on the Emergence of the Reliability Prediction Methodology 217PLUSTM", Journal of Industrial Technology, Kangwon Natl, 29(A), pp.28~36 (2009)
  4. 조인탁, "항공기 전자장비의 신뢰성 예측 비교 연구", 산업공학(IE interfaces), 25(4), pp.472~479 (2012), 대한산업공학회[DOI]
  5. Jung, W., "Application of Reliability Technology in Products Design and Development", Proceedings of 2005 Conferences(Spring) on The Korea Industrial and Systems Engineering (2005)
  6. 김은정, "항공기 동적 부분품에 대한 신뢰성 평가", 한국항공운항학회지, 18(4), pp.38~43 (2010), 한국항공운항학회
  7. Lee, Y.-E., "Mission Reliability Analysis and Prediction for Aircraft System based on FA-50 Aircraft Development Experience", Proceedings of 2010 Conference(Fall) on The Korean Society for Aeronautical and Space Sciences (2010)
  8. Lee, Y.-E., "Reliability Growth Analysis for KA-1 Aircraft- Based on Duane and Crow-AMSAA Model", Proceedings of 2010 Conference(Spring) on The Korean Society for Aeronautical and Space Sciences (2010)
  9. "MIL-STD-756B, Reliability Modeling and Prediction", ~ (1981)
  10. "MIL-STD-785B, Reliability Program for Systems and Equipment Development and Production", ~ (1980)
  11. "MIL-HDBK-217F Notice 2, Military Handbook, Reliability Prediction of Electronic Equipment", Department of Defense, ~ (1995)
  12. "MIL-HDBK-338B, Electronic Reliability Design Handbook", ~ (1998)
  13. "MIL-STD-1635, Reliability Growth Testing", ~ (1978)
  14. Moasoft, "A Guide Book for Reliability Prediction", ~ (2002)
  15. Raghuram R, "HCL, Challenges in Reliability Prediction of Aircraft Subsystems", ~ (2008)
  16. Smith, S.A., "Reliability Growth of Repairable Systems", Naval Research Logistics Quarterly, 27(4), pp.39~547 (1980)

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