摘要
针对退化过程中随机失效阈值分布难以确定,无法直接引入到退化数据建模分析过程的难题,提出一种将失效阈值的随机性转移到易于获得分布参数变量中的建模分析方法,给出退化试验数据和加速退化试验数据的建模分析步骤.结合实例分析表明:将失效阈值随机性转移到易于获得分布参数变量中的建模分析方法可行,避免了复杂的数值计算;同时,该方法能够为高可靠长寿命产品提供更符合实际的可靠性评估结果.
Aimed at the problem that the random threshold distribution in degradation process is difficult to be determined and introduced into degraded data modeling and analysis process a modeling and analysis method is presented,where the randomness of failure threshold is transferred into such a variable that its distribution parameter can be easily obtained,and the modeling and analysis procedure of degradation test data and accelerated degradation test data are given out.It is shown by analyzing actual case that foregoing modeling and analysis method is feasible and complex numerical computation will be avoided.Meantime,this method can provide a reality-conforming result of reliability estimation for the products with high reliability and long service life.
作者
马强
安宗文
寇海霞
MA Qiang AN Zong-wen KOU Hai-xia(College of Meehano-Eleetronie Engineering, Lanzhou Univ. of Teeh. , Lanzhou 730050, Chin)
出处
《兰州理工大学学报》
CAS
北大核心
2017年第5期40-46,共7页
Journal of Lanzhou University of Technology
基金
国家自然科学基金(51265025
51665029)
关键词
随机失效阈值
退化数据
可靠性评估
random failure threshold
degraded data
reliability assessment