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Resilience-based component importance measures for complex networks

  • Beihang University
  • Science & Technology on Reliability & Environmental Engineering Laboratory

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the design and allocation of resilience for complex networks, both the resilient characteristics and the locations of constituent components can affect the overall resilience of networks on different levels. Based on the concepts of resilience, this paper proposes the definitions of structure importance, redundancy importance and reinforcement importance, with comprehensive consideration of performance degradation and recovery time. Considering the resilient and plastic behaviors of different levels of complex networks before and after the disruptions, a Monte-Carlo simulation algorithm is also developed to calculate the resilience-based component importance. The results show the feasibility and effectiveness of our importance measures.

Original languageEnglish
Title of host publicationProceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016
EditorsQiang Miao, Zhaojun Li, Ming J. Zuo, Liudong Xing, Zhigang Tian
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509027781
DOIs
StatePublished - 16 Jan 2017
Event7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016 - Chengdu, Sichuan, China
Duration: 19 Oct 201621 Oct 2016

Publication series

NameProceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016

Conference

Conference7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016
Country/TerritoryChina
CityChengdu, Sichuan
Period19/10/1621/10/16

Keywords

  • Network
  • Plasticity
  • Resilience
  • Resilience-based importance

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