Jul 25, 2017 · This paper presents a dynamic Bayesian network (DBN) approach for the modeling and predictive resilience analysis for dynamic engineered systems ...
Feb 20, 2017 · This paper presents a Dynamic. Bayesian Network (DBN) approach for the modeling and predictive resilience analysis for dynamic engineered ...
A dynamic Bayesian network (DBN) approach for the modeling and predictive resilience analysis for dynamic engineered systems is presented to aid in ...
This paper aims to develop a dynamic Bayesian network (DBN)-based approach to the probabilistic assessment of the system resilience.
The proposed resilience quantification and analysis approach using Bayesian networks would empower system designers to have a better grasp of the weakness and ...
This work proposes a novel probabilistic approach to the resilience assessment of critical infrastructures using a dynamic Bayesian network (DBN)
Apr 2, 2023 · ... Bayesian Networks in the study of complex systems: 1. Bayesian networks as a novel tool to enhance the interpretability and predictive power ...
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This paper proposes a mathematical programming model aimed at optimizing SoS resilience by optimally using budget to the subsystem.
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Oct 23, 2020 · This paper proposes a novel resilience assessment metric for structure system from a macroscopic perspective, named structure resilience.
Predictive Resilience Analysis of Complex Systems Using Dynamic Bayesian Networks. 1 Sep 2017 | IEEE Transactions on Reliability, Vol. 66, No. 3. Engineering ...