Evaluating the reliability of repairable systems

L. H. Crow
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引用次数: 124

Abstract

The Weibull-Poisson process (WPP) for representing the reliability of complex repairable systems is discussed. The emphasis is on estimation and other statistical methods for this model when data have been generated by multiple systems. Examples and procedures specifically illustrating these methods are given for several real-world situations. In addition to maximum likelihood estimation methods, goodness-of-fit tests and confidence interval procedures are discussed and illustrated by numerical examples. It is noted that in the case of one system the model reduces to a model for reliability growth. Confidence intervals for the WPP shape parameter and growth rate are given.<>
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评估可修复系统的可靠性
讨论了表示复杂可修系统可靠性的威布尔泊松过程(WPP)。重点是当数据由多个系统生成时,该模型的估计和其他统计方法。具体说明这些方法的例子和程序给出了几个现实世界的情况。除了最大似然估计方法外,还讨论了拟合优度检验和置信区间程序,并通过数值例子加以说明。值得注意的是,在一个系统的情况下,该模型简化为可靠性增长模型。给出了WPP形状参数和增长率的置信区间。
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