Gaussian mixture models are used to model non-normal marginal distributions of remaining wall thickness to support Gaussian Process inference from partial pipe scans.
Robotic pipeline wall thickness evaluation for dense nondestructive testing inspection
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Gaussian Mixture Marginal Distributions for Modelling Remaining Pipe Wall Thickness of Critical Water Mains in Non-Destructive Evaluation
Gaussian mixture models are used to model non-normal marginal distributions of remaining wall thickness to support Gaussian Process inference from partial pipe scans.