当前位置: X-MOL 学术Proc. Inst. Mech. Eng. Part O J. Risk Reliab. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Reliability analysis of network systems subject to probabilistic propagation failures and failure isolation effects
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability ( IF 2.1 ) Pub Date : 2020-01-03 , DOI: 10.1177/1748006x19893547
Peng Su 1 , Guanjun Wang 1
Affiliation  

In this article, the reliability of network systems subject to probabilistic propagation failure and failure isolation effects is considered. Probabilistic propagation failure is the failure of some components in a system, which will cause other components to fail with certain probabilities. Probabilistic propagation failure exists in various network systems, such as computing network system and nuclear power generating network system. Failure isolation means that the failure of a trigger component will lead to its corresponding dependent components being isolated from the network system. Since the failure isolation effect is activated only when the failure of trigger components occurs before the occurrence of probabilistic propagation failure, there exists a competing failure in the time domain between the failure of a trigger component and the components with probabilistic propagation failure effect. If a trigger component failure occurs first, the system is insensitive to any failures of components being isolated. In this article, a combinatorial method based on binary decision diagram is proposed to analyze the reliability of the network systems subject to probabilistic propagation failure and failure isolation effects. The method can be applied to any network system and any type of lifetime distribution of the system components. As an example, a wide area network system is analyzed. Some numerical results about reliability indexes are provided to verify the feasibility and accuracy of the proposed method.



中文翻译:

受概率传播故障和故障隔离影响的网络系统的可靠性分析

在本文中,考虑了受概率传播故障和故障隔离影响的网络系统的可靠性。概率传播故障是系统中某些组件的故障,它将导致其他组件以某些概率发生故障。概率传播故障存在于各种网络系统中,例如计算网络系统和核发电网络系统。故障隔离意味着触发组件的故障将导致其相应的从属组件与网络系统隔离。由于故障隔离效果仅在触发组件的故障在概率传播故障发生之前发生时才被激活,在触发组件的故障和具有概率传播故障效应的组件之间,在时域中存在竞争性故障。如果首先发生触发组件故障,则系统对隔离的组件的任何故障都不敏感。本文提出了一种基于二元决策图的组合方法,以分析受概率传播故障和故障隔离影响的网络系统的可靠性。该方法可以应用于任何网络系统以及系统组件的任何类型的生命周期分布。例如,分析了广域网系统。提供了一些关于可靠性指标的数值结果,验证了该方法的可行性和准确性。如果首先发生触发组件故障,则系统对隔离的组件的任何故障都不敏感。本文提出了一种基于二元决策图的组合方法,以分析受概率传播故障和故障隔离影响的网络系统的可靠性。该方法可以应用于任何网络系统以及系统组件的任何类型的生命周期分布。例如,分析了广域网系统。提供了一些关于可靠性指标的数值结果,验证了该方法的可行性和准确性。如果首先发生触发组件故障,则系统对隔离的组件的任何故障都不敏感。本文提出了一种基于二元决策图的组合方法,以分析受概率传播故障和故障隔离影响的网络系统的可靠性。该方法可以应用于任何网络系统以及系统组件的任何类型的生命周期分布。例如,分析了广域网系统。提供了一些关于可靠性指标的数值结果,验证了该方法的可行性和准确性。提出了一种基于二元决策图的组合方法来分析网络系统在概率传播故障和故障隔离影响下的可靠性。该方法可以应用于任何网络系统以及系统组件的任何类型的生命周期分布。例如,分析了广域网系统。提供了一些关于可靠性指标的数值结果,验证了该方法的可行性和准确性。提出了一种基于二元决策图的组合方法来分析网络系统在概率传播故障和故障隔离影响下的可靠性。该方法可以应用于任何网络系统以及系统组件的任何类型的生命周期分布。例如,分析了广域网系统。提供了一些关于可靠性指标的数值结果,验证了该方法的可行性和准确性。

更新日期:2020-04-23
down
wechat
bug