Title
Hybrid Hidden Markov Models for resilience metrics in a dynamic infrastructure system.
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.
Year
DOI
Venue
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
Name
Order
Citations
PageRank
S. Zhao130.40
Xiao LIU2598.40
Y. Zhuo330.40