基于Monte-Carlo仿真的双应力步降加速退化试验优化设计统计分析研究

针对高可靠性长寿命产品的性能往往受到多个应力的影响,且在有限试验时间内难以获得大量性能退化信息的问题，采用Monte-Carlo对试验过程进行仿真，运用退化失效环境因子对Monte-Carlo仿真产生数据进行折算，利用最小二乘对双应力步降加速退化试验统计分析，建立基于Monte-Carlo仿真的双应力步降加速退化试验优化设计统计分析模型。通过仿真实例，验证该方法的有效性、可行性。

Optimization Design Statistical Analysis Research of Double-step-down-stress Accelerated Degradation Test Base on Monte-carlo Simulation

According to the performance of the high reliability and long life products are affected by several stresses, and it is hard to get the performance degraded information with limited test time, an evaluation method is proposed. First, Monte-Carlo is used to simulate the procedure of the test, so as to convert the Monte-Carlo emulation produces data with the degraded invalid environmental factor, then using least square for statistical analysis of the double-step-down-stress accelerated degradation test, and eventually formed the statistical analysis model of double-step-down-stress accelerated degradation test based on Monte-Carlo simulation. Finally an emulation example is provided and the validity and feasibility of the method proposed is confirmed.