A Bayes approach to reliability assessment for systems with dependent components

John Yuan
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引用次数: 4

Abstract

In order to establish a feasible and useful reliability evaluation model for a network system of dependent components, the failure of a component is distinguished into many states artificially, according to the causes which bring about such a failure and the effects to the system in such a way that the failure rate of each state can be easily estimated. Such failure state of a component can be grouped into four types, single (stochastical independent), active, passive and common-cause failures.

具有相关组件的系统可靠性评估的贝叶斯方法
为了建立一个可行的、有用的依赖部件网络系统可靠性评估模型,根据部件失效的原因和对系统的影响,人为地将部件的故障划分为多种状态,以便于估计各状态的故障率。元件的这种失效状态可分为四种类型,即单一(随机独立)、主动、被动和共因失效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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