A Fourier-compressed torque signal plus a Gaussian process surrogate predicts PMSM torque under geometric variations more accurately than PCA compression or no compression.
‘On the separation of aleatory and epistemic uncertainties in probabilistic assessments’
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Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design
A Fourier-compressed torque signal plus a Gaussian process surrogate predicts PMSM torque under geometric variations more accurately than PCA compression or no compression.