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Combined effects of load dynamics and dependence clusters on cascading failures in network systems

机译:负载动态和依赖性集群对网络系统级联故障的综合影响

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摘要

A new model has been developed to analyze mixed cascading failures in network systems. The new model offers distinct advantages to analyze the combined impact of network load dynamics and network dependency on failure propagation, and to investigate specific effects of common types of network dependency on network robustness. Previous cascading failure models, focusing on network load dynamics, provide alternative approaches to analyze cascading failures in network systems. However, these studies seldom consider the combined impacts of multiple dependencies among network nodes, which can actually have a great impact on the dynamic behaviors of network systems. Thus, our new model extends previous research by taking both load dynamics and network dependency into account. Using this new model, existing mixed cascading failures can be simulated, and the influence of different types of dependence clusters of network nodes on the robustness of network systems can also be studied. The effects of network topology on network robustness considering mixed cascading failures are also investigated using numerical examples. (C) 2017 Elsevier Ltd. All rights reserved.
机译:已经开发出一种新模型来分析网络系统中的混合级联故障。新模型具有明显的优势,可以分析网络负载动态和网络对故障传播的依赖性的综合影响,并研究常见类型的网络对网络健壮性的特定影响。以前的级联故障模型着重于网络负载动态,提供了替代方法来分析网络系统中的级联故障。但是,这些研究很少考虑网络节点之间多个依存关系的综合影响,而这实际上可能会对网络系统的动态行为产生很大影响。因此,我们的新模型通过考虑负载动态和网络依赖性来扩展以前的研究。使用这个新模型,可以模拟现有的混合级联故障,并且还可以研究网络节点的不同类型的依赖簇对网络系统鲁棒性的影响。还使用数值示例研究了考虑混合级联故障的网络拓扑对网络健壮性的影响。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Reliability Engineering & System Safety》 |2018年第2期|116-126|共11页
  • 作者单位

    Rutgers State Univ, Dept Ind & Syst Engn, 96 Frelinghuysen Rd, Piscataway, NJ 08854 USA;

    Beihang Univ, Sch Reliabil & Syst Engn, Beijing, Peoples R China;

    Rutgers State Univ, Dept Ind & Syst Engn, 96 Frelinghuysen Rd, Piscataway, NJ 08854 USA;

    Rutgers State Univ, Edward J Bloustein Sch Planning & Publ Policy, 33 Livingston Ave, New Brunswick, NJ 08901 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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