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

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 …

Fault detection prior to their occurrence or complete shut-down in induction motor is
essential for the industries. The fault detection based on condition monitoring techniques …

Blade bearings, also termed pitch bearings, are joint components of wind turbines, which
can slowly pitch blades at desired angles to optimize electrical energy output. The failure of …

The important part of mechanical equipment is rotating machinery, used mostly in industrial
machinery. Rolling element bearings are the utmost dominant part in rotating machinery, so …

Wind power, being a recyclable and renewable resource, makes for a sizable portion of the
new energy generation sector. Nonetheless, the wind energy industry is experiencing early …

The early identification of a defect that is develo** in a bearing is crucial for avoiding
failures in rotating machinery. Frequency domain analysis of the vibration signals has been …

Gearbox is an important equipment in an automobile to transfer power from the engine to the
wheels with various speed ratios. The maintenance of the gearbox is a top criterion as it is …

Convolutional Neural Network (CNN) has been widely used in bearing fault diagnosis in
recent years, and many satisfying results have been reported. However, when the training …

The rolling element bearing is one of the most critical components in a machine. Vibration
signals resulting from these bearings imply important bearing defect information related to …