百分位
可靠性工程
计算机科学
稳健性(进化)
差异(会计)
可靠性(半导体)
降级(电信)
产品(数学)
实验设计
样本量测定
运筹学
数学优化
统计
数学
工程类
功率(物理)
物理
会计
几何学
基因
电信
业务
化学
量子力学
生物化学
作者
Hong‐Fwu Yu,Sheng‐Tsaing Tseng
标识
DOI:10.1002/(sici)1520-6750(199909)46:6<689::aid-nav6>3.0.co;2-n
摘要
Degradation experiments are widely used to assess the reliability of highly reliable products which are not likely to fail under the traditional life tests. In order to conduct a degradation experiment efficiently, several factors, such as the inspection frequency, the sample size, and the termination time, need to be considered carefully. These factors not only affect the experimental cost, but also affect the precision of the estimate of a product's lifetime. In this paper, we deal with the optimal design of a degradation experiment. Under the constraint that the total experimental cost does not exceed a predetermined budget, the optimal decision variables are solved by minimizing the variance of the estimated 100pth percentile of the lifetime distribution of the product. An example is provided to illustrate the proposed method. Finally, a simulation study is conducted to investigate the robustness of this proposed method. © 1999 John Wiley & Sons, Inc. Naval Research Logistics 46: 689–706, 1999
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