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Resilience‐based component importance measures
Author(s) -
Wen Meilin,
Chen Yubing,
Yang Yi,
Kang Rui,
Zhang Yanbo
Publication year - 2019
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.4813
Subject(s) - resilience (materials science) , redundancy (engineering) , risk analysis (engineering) , computer science , component (thermodynamics) , reliability engineering , limit (mathematics) , process (computing) , engineering , mathematics , business , mathematical analysis , physics , thermodynamics , operating system
Summary The resilience of critical infrastructures has become a major concern throughout the design, operation, and maintenance process in recent years. While traditional evaluation measures are mainly concerned with complete and timely restoration, this work considers simultaneously the cases where systems fail to recover thoroughly or timely. We define resilient limit and propose a new resilience evaluation framework for systems suffering different levels of breakdowns. Furthermore, from perspectives of topological structure, cold standby, and resilient limit of components, this paper proposes three resilience‐based importance measures, namely, structure importance, redundancy importance, and reinforcement importance. Finally, we demonstrate our method with a numerical example, illustrating its effectiveness as a tool to evaluate the influences of component resilience characteristics on the overall system.