Accelerated life model based on bivariate exponential conditional distributions

To establish an accelerated life model based on the probabilistic correlation between lifetime and stress, an accelerated life model, named bivariate exponential conditional (BEC) accelerated life model, is derived according to the definition and properties of BEC distribution. Experimental data is employed to valid the BEC model. The results indicate that the BEC model can describe the relationship between the lifetime and stress properly in the accelerated stress domain compared with the Arrhenius and inverse power law (IPL) models, however, the life-extrapolation accuracy of the BEC model is a little lower than that of the Arrhenius and IPL models.