Original paper
Coupled Continuous-Time Markov Chain–Bayesian Network Model for Dam Failure Risk Prediction
Abstract
Hydropower dams are critical infrastructure systems characterized by their complex, dynamic, and stochastic behaviors. The frequent variation in the hydrological and meteorological variables poses a higher probability of dam failure, highlighting the need to improve pertinent risk assessment approaches to predict failure risks, considering the uncertain states of such variables. Bayesian networks (BN) analysis has been a key risk assessment tool...
Paper Details
Title
Coupled Continuous-Time Markov Chain–Bayesian Network Model for Dam Failure Risk Prediction
Published Date
Dec 1, 2021
Volume
27
Issue
4
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