Earticle

초록

영어

In order to prevent accidents via defective ammunition, this paper analyzes recent research on ammunition life prediction methodology. This workanalyzes current shelf-life prediction approaches by comparing the pros and cons of physical modeling, accelerated testing, and statistical analysis-based prediction techniques. Physical modeling-based prediction demonstrates its usefulness in understanding the physical properties and interactions of ammunition. Accelerated testing-based prediction is useful in quickly verifying the reliability and safety of ammunition. Additionally, statistical analysis-based prediction is emphasized for its ability to make decisions based on data. This paper aims to contribute to the early detection of defective ammunition by analyzing ammunition life prediction methodology hereby reducing defective ammunition accidents. In order to prepare not only Korean domestic war situation but also the international affairs from Eastern Europe and Mid East countries, it is very important to enhance the stability of organizations using ammunition and reduce costs of potential accidents.

목차

Abstract
1. 서론
2. 물리적 모델링 기반 예측
2.1 물리적 모델링 특성, 장단점 및 향후 과제
3. 가속 시험 기반 예측
3.1 가속 시험 특성, 장단점 및 향후 과제
4. 통계적 분석 기반 예측
4.1 통계적 분석 특성, 장단점 및 향후 과제
5. 결론
6. References

키워드

저자

• 정영진 [ Young-Jin Jung | 인하대학교 산업경영공학과 ]
• 홍지수 [ Ji-Soo Hong | 인하대학교 산업경영공학과 ] Corresponding author
• 김솔잎 [ Sol-Ip Kim | 한화에어로스페이스 PGM 연구소 ]
• 강성우 [ Sung-Woo Kang | 인하대학교 산업경영공학과 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  대한안전경영과학회지 [Journal of Korea Safety Management & Science]

• 간기

  계간

• pISSN

  1229-6783

• eISSN

  2288-1484

• 수록기간

  1999~2025

• 십진분류

  KDC 530 DDC 620