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清華大學統計學研究所
國立清華大學統計學研究所
2017-11-17(五),主講人:李宜真 教授 (成功大學統計系)

清華大學、交通大學

統 計 學 研 究 所

專 題 演 講

 


講 題: Global Planning of Accelerated Degradation Tests
演講者: 李宜真教授 (成功大學統計系)
時 間: 106年11月17日(星期五)10:10 - 11:00  
地 點: 綜合三館837室
摘 要:

The accelerated degradation test (ADT) is an efficient tool for assessing the lifetime information of highly reliable products. However, conducting an ADT is very expensive. Therefore, how to conduct a cost-constrained ADT plan is a great challenging issue for reliability analysts. By taking the experimental cost into consideration, this study proposes a semi-analytical procedure to determine the total sample size, testing stress levels, the measurement frequencies, and the number of measurements (within a degradation path) globally under a class of exponential dispersion (ED) degradation models. The proposed method provides more design insights for conducting an ADT plan, and it also speeds up the algorithm for determining the optimum planning by modifying the procedures in the traditional grid algorithm.

 

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