Hybrid Hidden Markov Models for Resilience Metric in a Dynamic Infrastructure System

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.