A Computationally-Efficient Probabilistic Approach to Model-Based Damage Diagnosis
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This work presents a computationally-efficient, probabilistic approach to model-based damage diagnosis. Given measurement data, probability distributions of unknown damage parameters are estimated using Bayesian inference and Markov chain Monte Carlo (MCMC) sa... ...
