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RISReview of Nonlinear Filtering for SHM with an Exploration of Novel Higher-Order Kalman Filtering Algorithms for Uncertainty Quantification
Publisher: American Society of Civil Engineers
Abstract: Recent work has shown the applicability of Bayesian inference techniques, which use a physics-based representation of the structure of interest, to structural health monitoring (SHM) tasks, such as damage identification. ...