Wavelet leaders multifractal features based fault diagnosis of rotating mechanism
W Du, J Tao, Y Li, C Liu - Mechanical Systems and Signal Processing, 2014 - Elsevier
A novel method based on wavelet leaders multifractal features for rolling element bearing
fault diagnosis is proposed. The multifractal features, combined with scaling exponents …
fault diagnosis is proposed. The multifractal features, combined with scaling exponents …
Wavelet leaders multifractal features based fault diagnosis of rotating mechanism
W Du, J Tao, Y Li, C Liu - Mechanical Systems and Signal Processing, 2014 - infona.pl
A novel method based on wavelet leaders multifractal features for rolling element bearing
fault diagnosis is proposed. The multifractal features, combined with scaling exponents …
fault diagnosis is proposed. The multifractal features, combined with scaling exponents …
Wavelet leaders multifractal features based fault diagnosis of rotating mechanism
W Du, J Tao, Y Li, C Liu - Mechanical Systems and Signal …, 2014 - ui.adsabs.harvard.edu
A novel method based on wavelet leaders multifractal features for rolling element bearing
fault diagnosis is proposed. The multifractal features, combined with scaling exponents …
fault diagnosis is proposed. The multifractal features, combined with scaling exponents …