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An extension of the Freund's bivariate distribution to model cascading failures

机译:弗氏双变量分布的扩展以建模级联故障

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摘要

The notion of cascading failures is a common phenomenon we observe around us. Here the initial failure alters the structure function of the system, which leads to subsequent failures within a short period of time referred to as threshold time. The concept of cascading failures within the framework of reliability theory and the Freund bivariate exponential distribution to model cascading failures has been studied by few authors. The Freund bivariate exponential distribution allows modelling a parallel redundant system with two components. In this system, the lifetimes of the two components behave as if they are independent, until one of the components fail, after which the remaining component suffers an increased/decreased stress. In this article, we further generalize this model to accommodate cascading failures. Various properties of the model are investigated and statistical inference procedures are developed using L-moments and method of moments. A practical application of this model is illustrated using data from www.espncricinfo.com. Also well analysed Diabetic Retinopathy Study (DRS) data is further analysed using this model and our findings are presented.
机译:级联故障的概念是我们在我们周围观察到的普遍现象。在此,初始故障会更改系统的结构功能,从而在称为阈值时间的短时间内导致后续故障。很少有研究者在可靠性理论和Freund二元指数分布框架内的级联故障概念进行研究。弗氏双变量指数分布允许对具有两个组件的并行冗余系统进行建模。在该系统中,两个组件的寿命表现得好像它们是独立的,直到其中一个组件发生故障,此后其余组件承受的应力会增加/减小。在本文中,我们进一步概括了此模型,以适应级联故障。研究了模型的各种属性,并使用L矩和矩量法开发了统计推断程序。使用www.espncricinfo.com的数据说明了该模型的实际应用。还使用此模型进一步分析了糖尿病视网膜病变研究(DRS)数据,并提出了我们的发现。

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