Optimization of step stress accelerated degradation test plans

In the reliability prediction of the product with long life and high reliability, the step stress accelerated degradation test (SSADT) is commonly applied. With the motivation of predicting the product reliability most precisely, the problem of optimizing the test plans has drawn a lot of attentions in the application of SSADT. In this paper, the drift Brownian motion is selected as the degradation model. And in order to minimize the mean square error (MSE) of the prediction of the product operation reliability, the test plans of a SSADT that under the specified total test time and sample size are optimized through a Monte Carlo simulation method. At last, in combination with the sensitive analysis, the robust optimal test plans are obtained.