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조차현,허완욱,윤정환,Cho, Cha-Hyun,Heo, Wan-Ok,Yoon, Jung-Hwan 한국군사과학기술학회 2010 한국군사과학기술학회지 Vol.13 No.1
At present, advanced countries are focusing on the study of Demilitarization Method of Conventional Ammunitions. In this paper, we will report the current trends of Demilitarization of Conventional and Guided Missile ammunitions, and present the efficient Demilitarization Methods of new development of Guided Missile ammunitions in Korea.
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구간 고장 데이터가 주어진 수리가능 시스템의 신뢰도 분석절차 개발 및 사례연구
조차현,염봉진,Cho, Cha-Hyun,Yum, Bong-Jin 한국군사과학기술학회 2011 한국군사과학기술학회지 Vol.14 No.5
The purpose of this paper is to develop reliability analysis procedures for repairable systems with interval failure time data and apply the procedures for assessing the storage reliability of a subsystem of a certain type of guided missile. In the procedures, the interval failure time data are converted to pseudo failure times using the uniform random generation method, mid-point method or equispaced intervals method. Then, such analytic trend tests as Laplace, Lewis-Robinson, Pair-wise Comparison Nonparametric tests are used to determine whether the failure process follows a renewal or non-renewal process. Monte Carlo simulation experiments are conducted to compare the three conversion methods in terms of the statistical performance for each trend test when the underlying process is homogeneous Poisson, renewal, or non-homogeneous Poisson. The simulation results show that the uniform random generation method is best among the three. These results are applied to actual field data collected for a subsystem of a certain type of guided missile to identify its failure process and to estimate its mean time to failure and annual mean repair cost.
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운용 환경 변화에 따른 유도탄 구성품 신뢰도 예측 결과 및 필드 데이터 분석 결과 비교 연구
조차현,성신영,이세일,이종신 한국산학기술학회 2022 한국산학기술학회논문지 Vol.23 No.9
It is very important to consider the operating environment when predicting the reliability of a missile. In general, conversion factors are used to analyze the reliability of similar systems with different operating environments, but there has been only a little research on them. In addition, a comparison between the predicted reliability during development and the MTBF using failure history during operation and maintenance is a matter of continuous interest in terms of the reliability of a missile. Hence, in this research, for a guided missile component under missile operation, a change analysis of reliability prediction result according to the operational environment and temperature(Case 1), and a comparative analysis of the predicted reliability and the calculated MTBF using field data(Case 2) were performed. So, for these analyses, the predicted reliability, operating environment and temperature, and in-field failure history data of the component were collected. Consequently, Case 1 showed that the operating environment and temperature had a very large effect on the predicted reliability of the component. In addition, the error was small for the conversion factors when conversions were made in a relatively similar environment and the operating temperature converted in the same environment. On the other hand, Case 2 showed that the calculated MTBF from the field data was much larger than the predicted MTBF. In essence, this study will be helpful for achieving high accuracy of the reliability prediction and exporting missiles. 신뢰도 예측 시 유도탄 운용 환경 및 온도를 적용하는 것은 매우 중요하지만, MTBF Conversion Factors에대하여 분석한 연구는 많지 않다. 또한 신뢰도 예측 결과와 필드 데이터를 이용하여 산출한 MTBF와의 비교는 신뢰도측면에서 지속적으로 관심을 가지는 사항이다. 본 논문에서는 운용 중인 유도탄 구성품에 대하여 운용 환경과 온도에 따른 신뢰도 예측 결과의 변화(Case 1)와 개발간 신뢰도 예측 결과 MTBF 값과 필드 데이터를 이용한 MTBF 산출 값을 비교 분석(Case 2) 하였다. 이를 위해, 운용중 유도탄 구성품의 신뢰도 예측 결과, 운용 환경, 온도, 필드 고장 이력 데이터를 수집 하였다. Case 1 분석 결과 동일한 품목에 대하여 운용 환경 및 온도가 신뢰도 예측 결과에 매우 큰 영향을 미치는 것을 확인 하였으며, 상대적으로유사한 환경에서 변환, 동일한 환경에서 운용 온도만을 변환하는 MTBF 값이 오차가 적었음을 확인하였다. Case 2 분석결과 신뢰도 예측 결과보다 필드 데이터를 이용하여 산출한 MTBF가 매우 크다는 것을 알 수 있다. Conversion Factors를 정립하여 다양한 환경에 대한 신뢰도를 제시할 수 있고, 운용 중인 유도탄의 필드 고장 이력 데이터를 활용한MTBF 값을 산출하여 개발 간 신뢰도 예측 시 반영할 수 있다면 신뢰도 정확성 제고 및 무기체계 수출 증가에 도움이될 것이다.
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체계 개발 단계별 기계 부품에 대한 신뢰도 예측 시 NSWC-98-LE1 적용 방안
권기상,박은심,조차현,이동우,이수중,Kwon, Ki Sang,Park, Eun Sim,Cho, Cha Hyun,Lee, Dong Woo,Lee, Su Jung 한국시스템엔지니어링학회 2008 시스템엔지니어링학술지 Vol.4 No.1
Generally, in analysis of reliability of Design and Development Phase, reliability of electrical components is analyzed based on standards such as MIL-HDBK-217F, Bellcore Issue 4,5,6 by analyzing stress of architectural side (Power, Voltage, Current and quality level of components) of weapon system and stress of operational side (operational environment, operational temperature, Operational Profile). But the reliability of mechanical components is analyzed based on the data book of failure history of mechanical parts called NPRD-95(Nonelectronic Parts Reliability Data-95) without any analysis of above stress. However, even if it's the same mechanical parts, it might have different failure rate(fatigue, wear, corrosion) during operation depending on how weary(stress : pressure, vibration, temperature during operation) the parts are. Therefore, analyzing reliability using just data book can cause big difference in reliability instead of analyzing based upon stressfulness that parts might have, operational concept, and other various factors. Thus, This paper will guide the way of predicting reliability by organizing ways of predicting reliability for system organization and adopt ing NSWC-98/LE1(Naval Surface Warfare Center-98/LE1) for mechanical components.
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