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산업안전

다중 회귀 모델을 활용한 81mm 박격포 고폭탄 저장수명 예측

원문정보

Prediction of Shelf-life for 81mm Mortar High Explosive Ammunition Using Multiple Regression Model

정영진, 홍지수, 이강영, 강성우

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

This study aims to develop a regression model using data from the Ammunition Stockpile Reliability Program (ASRP) to predict the shelf life of 81mm mortar high-explosive shells. Ammunition is a single-use item that is discarded after use, and its quality is managed through sampling inspections. In particular, shelf life is closely related to the performance of the propellant. This research seeks to predict the shelf life of ammunition using a regression model. The experiment was conducted using 107 ASRP data points. The dependent variable was 'Storage Period', while the independent variables were 'Mean Ammunition Velocity,' 'Standard Deviation of Mean Ammunition Velocity,' and 'Stabilizer'. The explanatory power of the regression model was an R-squared value of 0.662. The results indicated that it takes approximately 55 years for the storage grade to change from A to C and about 62 years to change from C to D. The proposed model enhances the reliability of ammunition management, prevents unnecessary disposal, and contributes to the efficient use of defense resources. However, the model's explanatory power is somewhat limited due to the small dataset. Future research is expected to improve the model with additional data collection. Expanding the research to other types of ammunition may further aid in improving the military's ammunition management system.

목차

Abstract
1. 서론
1.1 연구 배경
1.2 연구의 필요성
1.3 연구 목적
2. 연구 방법
2.1 IQR을 활용한 이상치 확인
2.2 VIF를 활용한 다중공선성 확인
2.3 다중 회귀 모델을 활용한 81mm 박격포고폭탄 저장수명 예측
3. 연구 실험 및 결과
3.1 IQR을 활용한 이상치 확인
3.2 VIF를 활용한 다중공선성 확인
3.3 다중 회귀 모델을 활용한 81mm 박격포고폭탄 저장수명 예측
4. 결론
5. References

저자정보

  • 정영진 Young-Jin Jung. 인하대학교 산업경영공학과
  • 홍지수 Ji-Soo Hong. 인하대학교 산업경영공학과
  • 이강영 Kang-Young Lee. 한화에어로스페이스 PGM 연구소
  • 강성우 Sung-Woo Kang. 인하대학교 산업경영공학과

참고문헌

자료제공 : 네이버학술정보

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