Journal ArticleDOI
A metric and frameworks for resilience analysis of engineered and infrastructure systems
TLDR
It is shown that the proposed resilience analysis framework and metric promote the development of methodologies for investigating “deep” uncertainties in resilience assessment while retaining the use of probability for expressing uncertainties about highly uncertain, unforeseeable, or unknowable hazards in design and management activities.About:
This article is published in Reliability Engineering & System Safety.The article was published on 2014-01-01. It has received 792 citations till now. The article focuses on the topics: Resilience (network) & Socio-ecological system.read more
Citations
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A review of definitions and measures of system resilience
Seyed Mohsen Hosseini,Kash Barker,Jose Emmanuel Ramirez-Marquez,Jose Emmanuel Ramirez-Marquez +3 more
TL;DR: This paper presents a review of recent research articles related to defining and quantifying resilience in various disciplines, with a focus on engineering systems and provides a classification scheme to the approaches, focusing on qualitative and quantitative approaches and their subcategories.
韧性（Resilience）的概念分析
TL;DR: It is shown that high risk individuals are at high risk of injury and death by accident.
Journal ArticleDOI
Battling the Extreme: A Study on the Power System Resilience
TL;DR: The concept, metrics, and a quantitative framework for power system resilience evaluation are presented, with an emphasis on the new technologies such as topology reconfiguration, microgrids, and distribution automation and how to increase system resilience against extreme events.
Journal ArticleDOI
Big Data and virtualization for manufacturing cyber-physical systems
Radu F. Babiceanu,Remzi Seker +1 more
TL;DR: This work provides a review of the current status of virtualization and cloud-based services for manufacturing systems and of the use of Big Data analytics for planning and control of manufacturing operations and proposes a framework for the development of predictive manufacturing cyber-physical systems that include capabilities for attaching to the Internet of Things, and capabilities for complex event processing and Big Data algorithmic analytics.
Journal ArticleDOI
Power System Resilience to Extreme Weather: Fragility Modeling, Probabilistic Impact Assessment, and Adaptation Measures
TL;DR: In this paper, a fragility model of individual components and then of the whole transmission system is built for mapping the real-time impact of severe weather, with focus on wind events, on their failure probabilities.
References
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Book
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
TL;DR: Probabilistic Reasoning in Intelligent Systems as mentioned in this paper is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty, and provides a coherent explication of probability as a language for reasoning with partial belief.
Journal ArticleDOI
Resilience and Stability of Ecological Systems
TL;DR: The traditional view of natural systems, therefore, might well be less a meaningful reality than a perceptual convenience.
Journal ArticleDOI
Social and Ecological Resilience: Are They Related?
TL;DR: In this paper, the authors define social resilience as the ability of groups or communities to cope with external stresses and disturbances as a result of social, political and environmental change, and explore potential links between social resilience and ecological resilience.
Journal ArticleDOI
A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities
Michel Bruneau,Stephanie E. Chang,Ronald T. Eguchi,George C. Lee,Thomas D. O'Rourke,Andrei M. Reinhorn,Masanobu Shinozuka,Kathleen J. Tierney,William A. Wallace,Detlof von Winterfeldt +9 more
TL;DR: In this article, the authors present a conceptual framework to define seismic resilience of communities and quantitative measures of resilience that can be useful for a coordinated research effort focusing on enhancing this resilience.
Book
Decision analysis and behavioral research
D. Von Winterfeldt,Ward Edwards +1 more
TL;DR: In this article, the authors present an integrative presentation of the principles of decision analysis in a behavioral context, including sensitivity analysis, value-utility distinction, multistage inference, attitudes toward risk, and attempt to make intuitive sense out of what have been treated in the literature as endemic biases and other errors of human judgement.