A Hierarchical Modeling Approach to Accelerated Degradation Testing Data Analysis: A Case Study

被引:36
|
作者
Pan, Rong [1 ]
Crispin, Taeho [2 ]
机构
[1] Arizona State Univ, Sch Comp Informat & Decis Syst Engn, Tempe, AZ 85287 USA
[2] Univ Arizona, Tucson, AZ USA
关键词
accelerated degradation testing; LED lighting; mixed effect; nonlinear regression; reliability prediction; repeated measurement; INFERENCE;
D O I
10.1002/qre.1100
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this case study, we investigate the degradation process of light-emitting diodes (LEDs), which is used as a light source in DNA sequencing machines. Accelerated degradation tests are applied by varying temperature and forward current, and the light outputs are measured by a computerized measuring system. A degradation path model, which connects to the LED function recommended in Mitsuo (1991), is used in describing the degradation process. We consider variations in both measurement errors and degradation paths among individual test units. It is demonstrated that the hierarchical modeling approach is flexible and powerful in modeling a complex degradation process with nonlinear function and random coefficient. After fitting the model by maximum likelihood estimation, the failure time distribution can be obtained by simulation. Copyright (C) 2010 John Wiley & Sons, Ltd.
引用
收藏
页码:229 / 237
页数:9
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