摘要
提出步退加速寿命试验各温度应力周期的确定方法。根据继电器的材料属性和工作环境确定试验的最高温度和最低温度分别为120℃和40℃,通过Arrhenius方程确定另外2个试验温度为54℃和76℃。考虑参数退化的物理意义,通过因子分析和典型相关性分析,将单维参数融合为包含多维参数信息的综合数据。根据每组样本的系数权重将参数失效阈值转化为相应值,得到吸合时间、超程时间、弹跳时间、吸合电压和接触压降这5个参数的综合阈值。继电器的损伤程度可以通过融合得到的综合参数体现,通过等损伤量方法确定40℃、54℃、76℃、120℃四个温度应力各自的试验周期。最终得到步退试验下,各应力等级的试验周期确定方法并建立模型,该方法为步退加速寿命试验应力周期的确定提供了很好的角度。
A method for determining the stress cycles of step down stress accelerated life Test is proposed.According to the material properties and working environment of the relay,the maximum temperature and the minimum temperature of the test are 120℃ and 40℃. The Arrhenius equation is used to determine the other two test temperature by 54℃ and 76℃. By considering the physical meaning of parameter degradation,the single dimensional parameters are integrated into synthetic data containing multidimensional parameter information by factor analysis and typical correlation analysis. According to the coefficient weight of each sample,the parameter failure threshold is transformed to the corresponding value,and a comprehensive threshold of pull-in time,overshoot time,jumping time,pull-in voltage and contact pressure drop is obtained. It is considered that the damage degree of relay can be reflected by the comprehensive parameters of5 parameters,and the test cycles of 40℃,54℃,76℃ and 120℃ are determined by using equal damage method. Finally,the test period of each stress grade is determined. This method provides a good angle for the determination of the stress cycle of step down accelerated life test.
作者
李文华
郑杭
陈君
李爽
胡琦
Li Wenhua;Zheng Hang;Chen Jun;Li Shuang;Hu Qi(State Key Laboratory of Reliability and Intelligence of Electrical Equipment,Hebei University of Technology,Tianjin 300130,China;Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province Hebei University of Technology,Hebei University of Technology,Tianjin 300130,China;Xiamen Hongfa Automobile Electronics Co.,Ltd.,Xiamen 361021,China)
出处
《航天控制》
CSCD
北大核心
2018年第5期87-92,98,共7页
Aerospace Control
基金
河北省自然科学基金(E2016202206)