A general hazard regression model for accelerated life testing

In this paper, we apply a general hazard regression model for accelerated life testing. The model utilizes failure time data at accelerated conditions to estimate the reliability measures at normal operating conditions. The extended hazard regression (EHR) model has been successfully used in analyzing the survival time data of non-homogeneous populations in the medical field. It is a general model that encompasses both the proportional hazards and the accelerated failure time models as special cases. We investigate the EHR model and demonstrate its applicability in the reliability engineering field.