Multiple objective test design for accelerated destructive degradation tests

Accelerated destructive degradation tests (ADDTs) are powerful to provide reliability information in the degradation processes with destructive measurements. In order to carry out an ADDT efficiently, both the estimation precision of parameters and the test cost should be considered. On the basis of the given degradation model and failure criterion, a multiple-objective optimization model for the design of ADDTs is proposed. Under constrains of the maximum measurement time, the total sample size and the number of stress levels, a comprehensive target function is suggested to reflect both the precision of lifetime estimation and total cost, and the optimal test plan is obtained, which is composed by optimal choices for samples size, measurement frequency, and the number of measurements at each stress level. A real example is illustrated to demonstrate the implementation of the proposed approach.