Design of Constant Stress Accelerated Test Based on Multi-objective Function Optimization
Constant stress acceleration life test is designed optimally. Firstly,the accuracy of the reliability index estimation under normal stress is selected as the criterion to evaluate the quality of accelerated test scheme,and the asymptotic variance of maximum likelihood estimation of logarit hmic life under normal stress is derived as a single optimization objective function. Secondly,on the basis of a single optimization objective function,the multiple objective function of constant stress accelerated life test optimization design test is derived by considering the test cost. Finally,the intelligent optimization algorithm is applied to the solution of the single objective optimization function and the multiple objective optimization function. The problem of the multiple objective function optimization of accelerated test is solved through example verification.
accelerated life testoptimal designmultiple objective function optimizationintelligent algorithm
万方数据
维普
