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Evaluating MTTF of 2-out-of-3 redundant systems with common cause failure and load share based on alpha factor and capacity flow models

机译:根据alpha因子和容量流模型评估具有常见原因故障和负载分担的2出3冗余系统的MTTF

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K-out-of-n redundant systems are used to increase reliability in various industries. The failure of a component in such systems is dependent upon the failure of other components. Therefore, if an appropriate model is not developed to take dependent failures into consideration, reliability and MTTF of redundant systems are evaluated wrongly. One of the most crucial varieties of dependent failures is common cause failure. Common cause failure refers to the failure of two or more components of a k-out-of-n system which occurs simultaneously or within a short time interval and thus components are direct failures resulting from a shared cause. Another type of dependent failure in k-out-of-n redundant systems is load share, where the failure of one component leads to increased load in surviving components, hence changing their failure rate. In this paper, using Markov chain, three models are used to evaluate the MTTF of a 2-out-of-3 redundant system by taking dependent failures into account. Model I addresses the MTTF of a 2-out-of-3 redundant system by considering common cause failure based on alpha factor model. In Model II, both dependent failures (common cause failure and load share) are examined based on capacity flow and alpha factor model. In Model III, in addition to common cause failure and load share, component repair is studied, too. In order to examine the validity of the models introduced and conduct sensitivity analysis, some diagrams are drawn for each model. Considering the dependent failures in the 2-out-of-3 redundant systems, all the three proposed models can be practical and be used to evaluate MTTF.
机译:n出k的冗余系统用于提高各个行业的可靠性。这种系统中某个组件的故障取决于其他组件的故障。因此,如果未开发适当的模型来考虑相关故障,则会对冗余系统的可靠性和MTTF进行错误评估。相依故障的最关键种类之一是常见原因故障。共因故障是指同时发生或在短时间间隔内发生的n个系统中的两个或多个组件发生故障,因此,这些组件是由共同原因导致的直接故障。 n出n冗余系统中另一种类型的从属故障是负载共享,其中一个组件的故障导致剩余组件的负载增加,从而改变了它们的故障率。在本文中,使用马尔可夫链,通过考虑相关故障,使用了三个模型来评估三分之二冗余系统的MTTF。模型I通过考虑基于alpha因子模型的常见原因故障,解决了三分之二冗余系统的MTTF。在模型II中,基于容量流和alpha因子模型检查了两个相关的故障(共因故障和负载分担)。在模型III中,除了常见原因故障和负载分配外,还研究了组件维修。为了检查引入模型的有效性并进行敏感性分析,为每个模型绘制了一些图表。考虑到三分之二的冗余系统中的相关故障,所有三个建议的模型都可以实用,并可以用于评估MTTF。

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