On the component resilience importance measures for infrastructure systems

被引：0
|
作者：
Li, Ruiying [1 ,2 ]
Gao, Ying [1 ]
机构：
[1] Beihang Univ, Sch Reliabil & Syst Engn, Beijing 100191, Peoples R China
[2] Sci & Technol Reliabil & Environm Engn Lab, Beijing 100191, Peoples R China
来源：
INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION | 2022年 / 36卷
基金：
中国国家自然科学基金;
关键词：
Resilience importance; Monte-Carlo method; Importance measure; Infrastructure system; RELIABILITY; FRAMEWORK;
D O I：
10.1016/j.ijcip.2021.100481
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
For an infrastructure system, resilience can measure its performance degradation and recovery behavior after the disturbance. To reasonably allocate the limited resources and fully consider the effect of component resilience on the overall system, this paper proposes seven component resilience importance measures, i.e., Birnbaum resilience importance, resilience improvement/reduction potential importance, equalimprovement/reduction-based resilience importance, and equal-improvement/reduction-ratio-based resilience importance. A Monte-Carlo-based method is proposed to analyze the above resilience importance measures, and a transportation network is used as a case to verify the effectiveness of our method. Resilience behaviors of both links and the transportation network, and the resilience importance of links are analyzed in detail.
引用
收藏
页数：10
相关论文
共 50 条
  • [1] On the component resilience importance measures for infrastructure systems
    Li, Ruiying
    Gao, Ying
    [J]. International Journal of Critical Infrastructure Protection, 2022, 36
  • [2] Component importance measures for interdependent infrastructure network resilience
    Almoghathawi, Yasser
    Barker, Kash
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2019, 133 : 153 - 164
  • [3] Resilience-Based Component Importance Measures for Critical Infrastructure Network Systems
    Fang, Yi-Ping
    Pedroni, Nicola
    Zio, Enrico
    [J]. IEEE TRANSACTIONS ON RELIABILITY, 2016, 65 (02) : 502 - 512
  • [4] A multi-stage resilience analysis framework of critical infrastructure systems based on component importance measures
    Wang, Feng
    Tian, Jin
    Ling, Jiamu
    Chen, Zian
    Xu, Zhengguo
    [J]. Reliability Engineering and System Safety, 2025, 256
  • [5] Quantifying component importance for disaster resilience of communities with interdependent civil infrastructure systems
    Blagojevic, Nikola
    Didier, Max
    Stojadinovic, Bozidar
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2022, 228
  • [6] Resilience-based component importance measures
    Wen, Meilin
    Chen, Yubing
    Yang, Yi
    Kang, Rui
    Zhang, Yanbo
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2020, 30 (11) : 4244 - 4254
  • [7] Resilience-based network component importance measures
    Barker, Kash
    Ramirez-Marquez, Jose Emmanuel
    Rocco, Claudio M.
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2013, 117 : 89 - 97
  • [8] Component importance measures in complex systems
    Eisinger, S.
    Sutter, E.
    Huseby, A. B.
    [J]. Safety and Reliability for Managing Risk, Vols 1-3, 2006, : 679 - 685
  • [9] Resilience-based Component Importance Measures for Complex Networks
    Zhang, Yanbo
    Kang, Rui
    Li, Ruiying
    Yang, Chenxuan
    Yang, Yi
    [J]. 2016 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-CHENGDU), 2016,
  • [10] A Systematic Review of Quantitative Resilience Measures for Water Infrastructure Systems
    Shin, Sangmin
    Lee, Seungyub
    Judi, David R.
    Parvania, Masood
    Goharian, Erfan
    McPherson, Timothy
    Burian, Steven J.
    [J]. WATER, 2018, 10 (02):
12345