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Resilience-based component importance measures for complex networks

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

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016
编辑Qiang Miao, Zhaojun Li, Ming J. Zuo, Liudong Xing, Zhigang Tian
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781509027781
DOI
出版状态已出版 - 16 1月 2017
活动7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016 - Chengdu, Sichuan, 中国
期限: 19 10月 201621 10月 2016

出版系列

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

会议

会议7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016
国家/地区中国
Chengdu, Sichuan
时期19/10/1621/10/16

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