Applies value-of-information decision analysis to quantify benefits of strain-based SHM versus traditional inspections for corrosion-induced thickness loss in ship hulls.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2025 2verdicts
UNVERDICTED 2representative citing papers
An adaptive digital twin uses online Bayesian updates on transition probabilities in dynamic Bayesian networks, combined with reinforcement learning on parametric MDPs, to enable personalized predictive decision-making for structural health monitoring.
citing papers explorer
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Value of Information-based assessment of strain-based thickness loss monitoring in ship hull structures
Applies value-of-information decision analysis to quantify benefits of strain-based SHM versus traditional inspections for corrosion-induced thickness loss in ship hulls.
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Adaptive digital twins for predictive decision-making: Online Bayesian learning of transition dynamics
An adaptive digital twin uses online Bayesian updates on transition probabilities in dynamic Bayesian networks, combined with reinforcement learning on parametric MDPs, to enable personalized predictive decision-making for structural health monitoring.