Nonlinear Doubly Wiener Constant-Stress Accelerated Degradation Model Based on Uncertainties and Acceleration Factor Constant Principle

Although Wiener process models with the consideration of uncertainties, which are nonlinearity, random effects, and measurement errors, have been developed for lifetime prediction in accelerated degradation test (ADT), they fail to describe real because these assume that drift parameter correlates applied stress, while diffusion is constant. This paper put forward a nonlinear doubly constant-stress model, where both parameters were compatible stress according acceleration factor constant principle. When data available, we obtained unknown by applying maximum likelihood estimation (MLE) algorithm ADT (CSADT) model taking uncertainties into account. In addition, proposed model’s effectiveness was validated through an illustrative example, application traveling wave tube (TWT) carried out demonstrate superiority our practical applications.