Double-Stress Accelerated Degradation Modeling Based on Uncertain Process

Abstract

Accelerated degradation test (ADT) plays an important role in products reliability evaluation and lifetime prediction. When less data is obtained, the traditional method based on probability theory has some defects in the cognitive uncertainty of quantitative data. Therefore, based on the uncertainty theory and belief reliability theory, this paper establishes a new uncertainty accelerated degradation model, which takes into account the cognitive uncertainty of time, sample, and double stress dimensions at the same time. Then, the parameter estimation method of the model is given based on the least square principle. Finally, take the temperature and humidity stress ADT of the sealing rubber ring as an example, establish double-stress accelerated degradation model and evaluate its reliability.