Simulation-based Optimal Design for Accelerated Degradation Tests
Accelerated degradation test (ADT) is widely used to evaluate the reliability of highly reliable products with long life if there exists a product quality characteristic whose degradation over time can be related to reliability.It is still a main challenge that how to design optimal plan,including sample size,measurement frequency, and termination time,for ADT which can result in the most accurate estimation within predetermined budget This paper presents a novel approach of optimal design for ADT based on Monte Carlo simulation.There are three key steps in the approach: simulating;modeling;optimizing,by which it is convenient to set up a framework for applications.In this paper,we first apply a widelyused mix-effect model to describe a typical ADT problem.Next, the optimal test plans are obtained by minimizing the estimate of the mean-squared error of the estimated 100pth percentile of the products lifetime distribution by statistical analysis of simulating degradation data of test units under the constraint that the total experimental cost does not exceed a predetermined budget.Finally, an example is provided to illustrate the proposed method and evaluations are made to assess the sensitivity of optimal plans to misspecifications of values of the parameters.
accelerated degradation test optimal design simulation based Monte Carlo simulation miz-effect model reliability
Yashun Wang Chunhua Zhang Xun Chen Yongqiang Mo
College of Mechatronic Engineering and Automation National University of Defense Technology Changsha,China
国际会议
2009 8th International Conference on Reliability,Maintainability and Safety(第八届中国国际可靠性、维修性、安全性会议)
成都
英文
1302-1306
2009-08-24（万方平台首次上网日期，不代表论文的发表时间）