Engeneering Implementation of Cconstant Stress Aceelerated Life Test Optimal Design
The accelerated life test is optimized to improve the accuracy of the test results and save the test cost. The statistical analysis of accelerated life test is studied in-depth. Taking constant stress accelerated life test design opti-mization as an example,the optimization objective function is established by analyzing scheme elements and con-straint conditions,which provides theoretical basis for using intelligent algorithm to optimize constant stress accelerat-ed life test design. Firstly,the study object is determined to be the optimal design of the constant stress accelerated test of the Weibull life distribution product,and the optimized objective function is selected according to the test pur-pose,and then the optimized objective function is derived. Then,aiming at the shortcomings of the accelerated life test design method based on analytic optimization,a new optimization method based on simulated anneling algorithm is proposed from the perspective of engineering application,and corresponding application examples are given. Final-ly,it is proved by an example that the proposed method can solve the engineering application problem of accelerated life test optimization design on the basis of ensuring the accuracy of optimization results.
acclerated life testoptimal designintelligent algorithmsimulated annealingoptimal goal functionWeibull life distribution
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