Integrating Bayesian Filtering and Gaussian Process Modeling for Identification of Structural Systems under Misspecified Dynamics
Bayesian filtering methods are an interesting avenue for structural health monitoring because they enable joint estimation of dynamic states and model parameters from noisy dynamics data, yielding a physics-based model of the structural system in its current condition necessary for prognosis. However, filtering metho...