Lifetime evaluation method with integrated accelerated testing and field information

Accelerated testing is an important method in lifetime prediction. It can obtain enough lifetime information in short time. Sometimes, the lifetime information from the laboratory condition and the one from actual condition are different. To solve the problem above, a Bayesian evaluation method was proposed to integrate the accelerated life testing(ALT) data, accelerated degradation testing(ADT) data and field data together. Calibration method was introduced to calibrate the difference between the different conditions, to evaluate the product's real lifetime more accurately. The statistical inference method was carried out through Markov chain Monte Carlo methods. The proposed method was demonstrated through an example, and relevant analyses were implemented.