基于最小误差准则的加速退化数据优化处理方法  

Accelerated Degradation Test Data Optimization Analysis Method Based on Minimum Deviation Criterion

作　　者：成克强[1,2] 李小兵[1,2] 潘广泽 李锴[1] 王远航[1] 丁小健 

机构地区：[1]工业和信息化部电子第五研究所,广东广州510610 [2]广东省电子信息产品可靠性技术重点实验室,广东广州510610 [3]广东省工业机器人可靠性工程实验室,广东广州510610

出　　处：《电子产品可靠性与环境试验》2017年第2期10-14,共5页Electronic Product Reliability and Environmental Testing

摘　　要：针对加速退化数据处理过程中存在的拟合误差问题,提出了基于最小误差准则的伪失效寿命预测方法和寿命统计过程中的多寿命分布优选方法,分别针对常用的退化模型和威布尔、指数分布、对数正态分布3种寿命分布模型,提出了退化数据优化处理方法,并用实例对该优化方法的有效性进行了分析。In order to solve the fitting error in the process of accelerated handling, a pseudo failure life prediction method based on the minimum error multi-life distribution optimal selection method during life statistics process are the degradation data optimization method is pro aiming at the common degradation data criterion and the put forward. And degradation model and the three life distribution models of Weibull distribution, exponential distribution and logarithmic normal distribution. Besides, the effectiveness of the optimization method is evaluated through an example.

关 键 词：加速试验 性能退化 可靠性 数据优化 

分 类 号：TB114.3[理学—概率论与数理统计]