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Combining multi-scalewavelet entropy and kernelized classification for bearing multi-fault diagnosis
ArticleAbstract: Discriminative feature extraction and rolling element bearing failure diagnostics are very importantPalabras claves:Kernel Extreme Learning Machine, Multi-scale entropy, Stationary Wavelet TransformAutores:Alvarez P., Cabrera-Guerrero G., Lida Barba, Nibaldo RodríguezFuentes:googlescopusStationary wavelet-Fourier entropy and kernel extreme learning for bearing multi-fault diagnosis
ArticleAbstract: Bearing fault diagnosis methods play an important role in rotating machine health monitoring. In recPalabras claves:Fourier amplitude spectrum kernel extreme learning machine, Multi-scale entropy, Stationary wavelet packet transformAutores:Alvarez P., Cabrera-Guerrero G., Lida Barba, Nibaldo RodríguezFuentes:googlescopus