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针对解析方法难以得到或者不能得到步降应力加速寿命试验最优方案的难题,提出了一种基于Monte-Carlo仿真的步降应力加速寿命试验(SDSALT)优化方法。该方法通过大量的重复模拟试验生成试验失效数据,寻找最佳应力水平和试样分配比例,以正常使用应力下的P阶分位寿命均方误差估计(MSE)和各个应力水平下的特征寿命之和最小为目标,采用极大似然估计(MLE)对失效数据进行统计分析,建立基于仿真的步降应力加速寿命试验优化设计模型。给出的算例仿真结果说明该方法的可行性与正确性,易于流程化,适合工程应用。
Aiming at the problem that the analytical solution is difficult to obtain or can not get the optimum solution of step-down stress accelerated life test, a method based on Monte-Carlo simulation is proposed to optimize the step-down stress accelerated life test (SDSALT). In this method, a large number of repeated simulation tests are used to generate the test failure data to find the optimal stress level and sample distribution ratio. Based on the MSE of P-order quantile life under normal stress and the characteristic life at each stress level And the minimum is the goal, the maximum likelihood estimation (MLE) is used to analyze the failure data, and the optimization design model of step-down stress accelerated life test based on simulation is established. The simulation results show that the method is feasible and correct, easy to process and suitable for engineering application.