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

Extensive research has been conducted for intelligent fault diagnosis and prognosis of
rolling element bearings, a vital component in every rotating machinery, and many robust …

Rolling element bearings find widespread domestic and industrial application. Defects in
bearing unless detected in time may lead to malfunctioning of the machinery. Different …

Detection of an antifriction bearing faults is one of the most challenging tasks in bearing
health condition monitoring, especially when the fault is at its initial stage. The defects in …

A significant development in condition monitoring techniques has been observed over the
years. The scope of condition monitoring has been shifted from defect identification to its …

This study proposes a methodology for rolling element bearings fault diagnosis which gives
a complete and highly accurate identification of the faults present. It has two main stages …

Any industry needs an efficient predictive plan in order to optimize the management of
resources and improve the economy of the plant by reducing unnecessary costs and …

There is an ever-increasing need to optimise bearing lifetime and maintenance cost through
detecting faults at earlier stages. This can be achieved through improving diagnosis and …

Bearing is probably one of the most critical components of rotating machinery. They are
employed to guide and support the shafts in rotating machinery. Therefore, any fault in the …

Envelope analysis is one of the most advantageous methods for rolling element bearing
diagnostics but finding a suitable frequency band for demodulation has been a substantial …