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Found 2 papers, 1 papers with code
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale
The formal definition of this coupled system as a probabilistic graphical model enables us to draw upon well-established theory and methods from Bayesian statistics, dynamical systems, and control theory.
From Physics-Based Models to Predictive Digital Twins via Interpretable Machine Learning
In operation, the classifier uses observational data from the asset to infer which physics-based models in the model library are the best candidates for the updated digital twin.
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