A novel method based on wavelet leaders multifractal features for rolling element bearing
fault diagnosis is proposed. The multifractal features, combined with scaling exponents …

The development of non-linear dynamic theory brought a new method for recognising and
predicting the complex non-linear dynamic behaviour. Fractal dimension can quantitatively …

To effectively extract the fault feature information of rolling bearings and improve the
performance of fault diagnosis, a fault diagnosis method based on principal component …

To improve the fault identification accuracy of rolling bearing and effectively analyze the fault
severity, a novel rolling bearing fault diagnosis and severity analysis method based on the …

The faults of rolling bearings can result in the deterioration of rotating machine operating
conditions, how to extract the fault feature parameters and identify the fault of the rolling …

This paper presents an automatic fault diagnosis of different rolling element bearing faults
using a dual-tree complex wavelet transform, empirical mode decomposition, and a novel …

This paper is focused on fault diagnosis of ball bearings having localized defects (spalls) on
the various bearing components using wavelet-based feature extraction. The statistical …

In this paper, fault diagnosis methodology is proposed for rolling element bearings, which
utilizes autocorrelation of raw vibration signals to reduce the dimension of vibration signals …

The fault diagnosis of rotating machinery has attracted considerable research attention in
recent years because such components as bearings and gears frequently suffer failure …

This paper presents a novel method for fault diagnosis based on an improved wavelet
package transform (IWPT), a distance evaluation technique and the support vector machines …