Rolling element bearings play a crucial role in the functioning of rotating machinery.
Recently, the use of diagnostics and prognostics methodologies assisted by artificial …

This paper presents a review of literature concerned with the vibration modelling of rolling
element bearings that have localised and extended defects. An overview is provided of …

Intelligent fault diagnosis of rolling element bearings gains increasing attention in recent
years due to the promising development of artificial intelligent technology. Many intelligent …

Increasing the accuracy of mechanical fault detection has the potential to improve system
safety and economic performance by minimizing scheduled maintenance and the probability …

A method is presented for calculating and analyzing the quasi-static load distribution and
varying stiffness of a radially loaded double row bearing with a raceway defect of varying …

This paper provides insights into the physical mechanism by which defect-related impulsive
forces, and consequently, vibrations are generated in defective rolling element bearings. A …

A novel multivariate and multiscale statistical process monitoring method is proposed with
the aim of detecting incipient failures in large slewing bearings, where subjective influence …

A dynamic model is reported herein for the study of vibrations of deep groove ball bearings
having single and multiple defects on surfaces of inner and outer races. Masses of shaft …

This paper presents a force model for the inter-shaft bearing with a local defect on the
surface of the outer race or the inner race, and the nonlinear dynamic characteristics of a …

The article presents a novel non-linear multivariate and multiscale statistical process
monitoring and signal denoising method which combines the strengths of the Kernel …