Accelerated life model based on bivariate exponential conditional distributions

被引：0
|
作者：
An, Zong-Wen [1 ,2 ]
Huang, Hong-Zhong [1 ]
Wang, Gui-Bao [1 ]
机构：
[1] School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
[2] School of Mechatronics Engineering, Lanzhou University of Technology, Lanzhou 730050, China
来源：
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China | 2009年 / 38卷 / 03期
关键词：
Probability distributions - Model buildings;
D O I：
10.3969/j.issn.1001-0548.2009.03.033
中图分类号：
学科分类号：
摘要：
To establish an accelerated life model based on the probabilistic correlation between lifetime and stress, an accelerated life model, named bivariate exponential conditional (BEC) accelerated life model, is derived according to the definition and properties of BEC distribution. Experimental data is employed to valid the BEC model. The results indicate that the BEC model can describe the relationship between the lifetime and stress properly in the accelerated stress domain compared with the Arrhenius and inverse power law (IPL) models, however, the life-extrapolation accuracy of the BEC model is a little lower than that of the Arrhenius and IPL models.
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页码：455 / 458
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