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- 저자 : 김장은(Jangeun Kim) (검색결과 3 건)
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비용 효과도 최적화 기반 양산 무기체계 환경 부하 선별 시험 설계 방법
김장은(Jangeun Kim) 한국신뢰성학회 2018 신뢰성응용연구 Vol.18 No.3
Purpose: There is a difficulty in Environmental Stress Screening (ESS) test design for weapon system’s electrical/electronic components/products in small and medium-sized enterprises. To overcome this difficulty, I propose an easy ESS test design approach algorithm that is optimized with only one environment tolerance design information parameter (△T ). Methods: To propose the mass production weapon system ESS test design for cost-effective optimization, I define an optimum cost-effective mathematical model ESS test algorithm model based on modified MIL-HDBK-344, MIL-HDBK-2164 and DTIC Technical Report 2477. Results: I clearly confirmed and obtained the quantitative data of ESS effectiveness and cost optimization along our ESS test design algorithm through the practical case. I will expect that proposed ESS test method is used for ESS process improvement activity and cost cutting of mass production weapon system manufacturing cost in small and medium-sized enterprises. Conclusion: In order to compare the effectiveness of the proposed algorithm, I compared the effectiveness of the existing ESS test and the proposed algorithm ESS test based on the existing weapon system circuit card assembly for signal processing. As a result of the comparison, it was confirmed that the test time was reduced from 573.0 minutes to 517.2minutes (9.74% less than existing test time).
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전자장비 무기체계 고장률 기반 신뢰성 샘플링 계획의 비용 효과 최적 설계 방법
김장은(Jangeun Kim),정의영(Euiyoung Jeong),박용준(Yongjun Park),송형민(Hyungmin Song) 한국신뢰성학회 2021 신뢰성응용연구 Vol.21 No.1
Purpose: Realization of the dynamic requirements (reliability) in time involves a higher cost compared to that for static requirements (quality) in time. Therefore, a reliability sampling plan must be designed to enable the efficient realization of reliability tests. Notably to conduct such tests, a certain number of samples and test time are required to perform the statistical analysis after the development of the electronic equipment weapon system. Methods: The failure rate of the target electronic equipment is calculated based on MIL-HDBK-217, using an electronic equipment reliability prediction model. Based on the calculated failure rate, the total time required for the reliability sampling test is calculated through MIL-STD-690. Finally, based on the calculated total test time, the correlation between the number of sampled samples and test time, considering the total number of samples, is adopted to optimally design the failure rate sampling plan for the electronic equipment weapon system. Results: The proposed model to cost-effectively design the reliability sampling plan is applied to a domestically developed military DC-DC converter. The optimal cost-effectiveness is ensured when the input is KRW 64,064,731 [Constraint condition (n: Integer > 0, t: Real number > 0): c = 0, n = 59, t = 492.37 h]/KRW 64,081,117 [Constraint condition (n: Integer > 0, t: Integer > 0): c = 0, n = 58, t = 501 h]. Conclusion: The proposed model can be used to optimize the reliability sampling test plan for military electronic equipment in a cost-effective manner.
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