學 術 演 講
學 術 演 講
題 目：Minimax Design for an Accelerated Life Test
時 間：民國110年11月1日 (星期一) 下午1：30
Due to time constraint and experimental cost, how to plan an efficient accelerated life test (ALT) to obtain more accurate lifetime information of products is an important research issue. Many literatures proposed strategies to design a locally optimal planning of an ALT under the pre-specified planning values of parameters. On the other hand, the optimal design for an ALT also depends on the model assumption, such as lognormal or Weibull distribution. However, the true parameters and the underlying model are usually unknown before the experiment. To deal with the problems, this study adopts a minimax strategy to obtain a more robust design for an ALT. To find a minimax design efficiently, this study adopts particle swarm optimization (PSO) techniques. The result shows that the minimax design can be determined as long as we specify the range of sample failure probability and provide candidate models. Compared to the locally optimal design, the minimax design is more robust and more practical.