Optimization of step stress accelerated degradation test plans based on MSE

To reliability prediction of products with high reliability and long life, the Step Stress Accelerated Degradation Test (SSADT) is commonly applied. With the motivation of predicting product reliability most precisely, this paper discusses degradation process of products using Birnbaum-Saunders model, and proposes an optimal design method of SSADT. In order to minimize the mean square error (MSE) of product operation reliability, the test plans of SSADT under specified total test cost by utilizing Monte Carlo simulation. The plans can determine the optimal sample size, parameter measurement interval and measurement times of SSADT. In the end of this paper, we present an example of permanent magnet used in satellite to validate the effectiveness of the proposed method.