Abstract In this study, we propose a resilience analysis framework and a metric for measuring resilience. Then, nonhomogeneous Hidden Markov Models (HMM) are designed to evaluate resilience capacities including adaptive capacity, absorptive capacity, and recovery capacity under different disruption scenarios. Finally, a case study of water supply system taken from Shanghai City demonstrates that the proposed approaches are effective on system resilience assessment.
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Hybrid Hidden Markov Models for Resilience Metric in a Dynamic Infrastructure System
Semantic Scholar · Engineering · 2016
Abstract
Abstract In this study, we propose a resilience analysis framework and a metric for measuring resilience. Then, nonhomogeneous Hidden Markov Models (HMM) are designed to evaluate resilience capacities including adaptive capacity, absorptive capacity, and recovery capacity under different disruption scenarios. Finally, a case study of water supply system taken from Shanghai City demonstrates that the proposed approaches are effective on system resilience assessment.