摘要
针对恒定应力加速退化试验场合下的非线性退化数据,考虑个体之间的退化差异,提出了基于Wiener过程的非线性加速退化可靠性评估方法。采用Wiener过程描述产品的退化过程;运用时间尺度模型对非线性数据进行线性变换;将Wiener过程的漂移系数随机化处理,提出考虑个体差异的可靠性模型和加速退化模型;采用两步极大似然估计法确定模型中的未知参数,结合算例分析验证了方法的正确性和优越性。
Aiming at nonlinear degradation data in occasion of Constant-Stress Accelerated Degradation Test （CSADT）, a method for reliability assessment of nonlinear accelerated degradation based on Wiener process is put forward with consideration of individual performance degradation variation. The Wiener process is used to describe the degradation process of products. The time scale model is used to change nonlinear data into linear data. Drift coefficient of Wiener process is regarded as a random variable. The reliability model and accelerated degradation model are built up with consideration of individual variation. The Two-Step Maximum Likelihood Estimation method （TSMLE） is used to obtain the unknown parameters in the reliability model. An example is given to show the accuracy and superiority of the presented method.
出处
《电光与控制》
北大核心
2016年第2期87-90,共4页
Electronics Optics & Control
基金
"十二五"国防预先研究项目(513270201041)
关键词
可靠性评估
加速退化建模
WIENER过程
非线性数据
个体差异
reliability assessment
accelerated degradation modeling
Wiener process
nonlinear data
individual variation
