야전데이터를 활용한 무기체계 신뢰성 평가: K계열 무기체계 사례 중심
Reliability Evaluation of Weapon System using Field Data: Focusing on Case Study of K-series Weapon System
3
조회
0
다운로드
19
인용
0
참고문헌
키워드
초록
Purpose: Weapon systems have the long life cycle unlike the consumer product. Thus, the reliability of weapon system is improved during the life cycle through the steady technical change. In this paper, we deal with the method of evaluating the reliability of weapon system with the field failure data. Methods: Especially, we present how to gather the field failure data and evaluate the reliability through the case of K-series weapon system. To evaluate reliability, the reliability growth model is used and the result is discussed. Results: It is steadily improved the reliability of K-series weapon system deployed from 2000 to 2004. The frequency of the failures that affect the mission is largely reduced and MTBMF(mean time between mission failure) is also improved. Conclusion: We can guess the trend of the reliability of weapon system with the field data through this study. Furthermore, it can be used to improve the reliability and make maintenance policy.
Abstract
Purpose: Weapon systems have the long life cycle unlike the consumer product. Thus, the reliability of weapon system is improved during the life cycle through the steady technical change. In this paper, we deal with the method of evaluating the reliability of weapon system with the field failure data. Methods: Especially, we present how to gather the field failure data and evaluate the reliability through the case of K-series weapon system. To evaluate reliability, the reliability growth model is used and the result is discussed. Results: It is steadily improved the reliability of K-series weapon system deployed from 2000 to 2004. The frequency of the failures that affect the mission is largely reduced and MTBMF(mean time between mission failure) is also improved. Conclusion: We can guess the trend of the reliability of weapon system with the field data through this study. Furthermore, it can be used to improve the reliability and make maintenance policy.
참고문헌 (9)
- Duane, J. T., "Learning curve approach to reliability monitoring", IEEE Transactions on Aerospace, 2, pp.563~566 (1964)
- Farr, W., "Software reliability modeling survey", pp.71~117 (1996), McGraw Hill and IEEE Computer Society Press
- Goel, A. L., "Software reliability models : Assumptions, limitations, and applicability", IEEE Transactions on Software Engineering, 11(12), pp.1411~1423 (1985)
- John, D., "Total System Reliability: Integrated Model for Growth and Test Termination", Quality and Reliability Engineering International, 21(4) (2005)
- 김도훈, "중첩 NHPP를 이용한 소프트웨어 신뢰도 평가 모형 연구", 품질경영학회지, 36(1), pp.89~95 (2008), 한국품질경영학회
- "MIL-HDBK-189, Reliability Growth Management", Department of Defence, ~ (1981)
- Moon, S. K., "A study on the parameter estimation of S-shaped software reliability growth models using SAS JMP", Journal of the Korean Society for Quality Management, 26(3), pp.130~140 (1998)
- QCI, "CRE Primer, 3rd Edition" (2002), Quality Council of Indiana
- Spinato, F., "Reliability-growth analysis of wind turbines from fleet field data", in ARTS Conference (2007)