Multi-fidelity Gaussian process regression fusing sparse experimental damage indices with simulated ones estimates damage state more accurately than single-fidelity GPs alone.
Probabilistic active sensing acousto-ultrasound SHM based on non-parametric stochastic representations,
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Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models
Multi-fidelity Gaussian process regression fusing sparse experimental damage indices with simulated ones estimates damage state more accurately than single-fidelity GPs alone.