In this survey paper, we systematically summarize existing literature on bearing fault
diagnostics with deep learning (DL) algorithms. While conventional machine learning (ML) …

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

Local defects in cylindrical roller (CR) bearings usually occur on the contact surfaces. The
ideal sharp-edged rectangular defect models given by the previous works are almost …

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

Rolling bearing faults are among the primary causes of breakdown in multistage centrifugal
pump. A novel method of rolling bearings fault diagnosis based on variational mode …

The detection, diagnostic, and prognostic of bearing degradation play a key role in
increasing the reliability and safety of electrical machines, especially in key industrial …

The rolling element bearing is one of the most critical components that determine the
machinery health and its remaining lifetime in modern production machinery. Robust …

Rotor-roller bearing-housing systems (RBHSs) are widely utilized in many industrial
machinery, such as aero-engines, high speed trains, wind turbine, etc. A clearly …

A review of vibration and acoustic measurement methods for the detection of defects in
rolling element bearings is presented in this paper. Detection of both localized and …

Any device aiming to harness the abundant clean and renewable energy from ocean and
other water resources must have high energy density, be unobtrusive, have low …