电子功能部件环境适应性试验优化设计

Electronic functional equipment environmental adaptability test optimal design

针对高可靠性、长寿命的电子功能部件环境适应性评估问题,基于蒙特卡罗仿真方法,本文评估定数截尾步降应力实验方案并进行仿真优化设计。以服从威布尔分布的电子功能部件寿命模型为基础,以环境温度为主要应力参数,以提高实验效率和降低实验代价为目的,结合相关失效模型,建立实验方案优化度评估函数。优化度评估函数的建立使得环境适应性实验方案由定性分析转变为定量分析,且最优实验方案具备更高的时效性和精确度,相对于一般的经验方案而言,能够提升44.8%的优化度。

In order to evaluate the environmental adaptability of high-reliability and long-life electronic functional equipment,based on Monte Carlo simulation method,the fixed-censored step stress reduction test scheme is evaluated,and the simulation optimization is designed.Based on the electronic functional equipment’s life-span model which obeys Weibull distribution,the environmental temperature is the main stress parameter,and the purpose of improving test efficiency and reducing test cost is combined with related failure models to establish the evaluation function of the test plan optimization.The establishment of the optimization degree evaluation function makes the environmental adaptability test scheme changing from qualitative analysis to quantitative analysis,and the optimal test scheme has higher timeliness and accuracy,which can obtain 44.8%on optimization compared with the general experience scheme.