Stationary wavelet-Fourier entropy and kernel extreme learning for bearing multi-fault diagnosis

Article

Abstract: Bearing fault diagnosis methods play an important role in rotating machine health monitoring. In rec

Palabras claves:

Fourier amplitude spectrum kernel extreme learning machine, Multi-scale entropy, Stationary wavelet packet transform

Autores:

Alvarez P., Cabrera-Guerrero G., Lida Barba, Nibaldo Rodríguez

Fuentes:

google

scopus