Combining multi-scalewavelet entropy and kernelized classification for bearing multi-fault diagnosis

Article

Abstract: Discriminative feature extraction and rolling element bearing failure diagnostics are very important

Palabras claves:

Kernel Extreme Learning Machine, Multi-scale entropy, Stationary Wavelet Transform

Autores:

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

Fuentes:

google

scopus