Optimum step-stress accelerated degradation test for Wiener degradation process under constraints
We model a product's degradation path by a Wiener stochastic process and investigate the optimum design of a Step-Stress Accelerated Degradation Test (SSADT) for obtaining precise estimates of model parameters. We show that, when designing a SSADT, the optimum plan is a simple plan using only the minimum and maximum stress levels under many commonly-used optimization criteria. The optimum simple SSADT plan is derived for each criterion. Both theoretical and simulation results suggest that the proposed optimum plan can significantly improve the efficiency of a degradation experiment.
accelerated degradation test reliability step-stress adt wiener process inverse gaussian distribution