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 reliabilitymeasures at normal operating conditions. The extended hazard regression ‐EHR‐ model hasbeen successfully used in analyzing the survival time data of non‐homogeneous populationsin the medical field. It is a general model that encompasses both the proportional hazards(PH) and the accelerated failure time (AFT) models as special cases. We investigate theEHR model and demonstrate its applicability in the reliability engineering field.
