LAUSR

Bayesian-Optimized Hybrid Kernel SVM for Rolling Bearing Fault Diagnosis

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1 Published in 2023 at "Sensors"

DOI: 10.3390/s23115137

Abstract: We propose a new fault diagnosis model for rolling bearings based on a hybrid kernel support vector machine (SVM) and Bayesian optimization (BO). The model uses discrete Fourier transform (DFT) to extract fifteen features from… read more here.

Keywords: fault diagnosis; hybrid kernel; kernel svm; bayesian optimized ... See more keywords