Optimal design of step stress accelerated degradation test with multistress considering stress weight

This paper presents a new optimization criterion considering stress weight based on Ds-optimality to solve the low estimation accuracy problem of some stress model parameters when using the existing optimization design criteria to optimize the multistress accelerated degradation test scheme. First, the accelerated degradation model and constraints are determined by analyzing the test characteristics of step-stress accelerated degradation test (SSADT) with multistress. Then, the weight of each stress is identified by fault tree analysis and potential improvement value methods. Combined with the tabu search–particle swarm optimization (TS-PSO) algorithm, the SSADT with multiple stresses of the optimization design process is given. Finally, taking the SSADT with multistress optimization design of motorized spindle as an example, the practicability of the method is verified, and the optimization results are compared with those under D-optimality and Ds-optimality to validate the effectiveness of the method.