Product reliability prediction with failure information fusion

被引：0
|
作者：
Pan, Rong [1 ]
Batres, Juan [2 ]
机构：
[1] Arizona State Univ, Dept Ind Engn, Tempe, AZ 85287 USA
[2] Mitsubishi Power Syst Amer, El Paso, TX USA
来源：
THIRTEENTH ISSAT INTERNATIONAL CONFERENCE ON RELIABILITY AND QUALITY IN DESIGN, PROCEEDINGS | 2007年
基金：
美国国家科学基金会;
关键词：
Bayesian method; information fusion; accelerated life testing; reliability prediction;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
A Bayesian statistical approach is proposed to improve product reliability prediction by fusing product failure information from both field performance data and accelerated life testing data. Through this approach a calibration factor is developed, which compensates the difference of failure time distribution when the product is under the operational condition comparing to the lab testing condition. An example, based on the Arrhenius lifetime-stress function of temperature, is used to illustrate how to estimate the calibration, factor as well as other important parameters of the failure time distribution.
引用
收藏
页码：102 / +
页数：2
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