Title | ||
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Hybrid Hidden Markov Models for resilience metrics in a dynamic infrastructure system. |
Abstract | ||
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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. |
Year | DOI | Venue |
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2017 | 10.1016/j.ifacol.2016.07.628 | IFAC-PapersOnLine |
Keywords | DocType | Volume |
Resilience,infrastructure system,time-varying capacity,hidden Markov model,uncertainty | Journal | 49 |
Issue | ISSN | Citations |
12 | 2405-8963 | 3 |
PageRank | References | Authors |
0.40 | 14 | 3 |