Gaussian process regression with a composite cosine-RBF kernel and Bayesian model averaging localizes impacts on composite plates under temperature, mass, and angle variations, with mean errors around 6-13 mm.
Dvorak and Norman Laws
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Robust impact localisation on composite aerostructures using kernel design and Bayesian fusion under environmental and operational uncertainties
Gaussian process regression with a composite cosine-RBF kernel and Bayesian model averaging localizes impacts on composite plates under temperature, mass, and angle variations, with mean errors around 6-13 mm.