The bearings are the crucial components of rotating machines in an industrial firm.
Unplanned failure of these components not only increases the downtime, but also leads to …

The occurrence of multiple faults is a practical problem in the bearings of rotating machines,
and early diagnosis of such issues in an intelligent manner is vital in the era of industry 4.0 …

Bearings are considered as indispensable and critical components of mechanical
equipment, which support the basic forces and dynamic loads. Across different condition …

Rotating machinery is widely applied in industrial applications. Fault diagnosis of rotating
machinery is vital in manufacturing system, which can prevent catastrophic failure and …

Bearing is one of the core components of any rotating machine, and its failure is widespread.
This reason drives continuous monitoring and detecting bearing faults during machine …

As one of the most critical components in rotating machinery, bearing fault diagnosis has
attracted many researchers' attention. The traditional methods for bearing fault diagnosis …

Rolling element bearing is a critical component in rotating machinery that reduces the
friction between moving pairs. Bearing fault diagnosis is always considered as a research …

During the past few years, deep learning has been recognized as a useful tool in condition
monitoring and fault detection of rolling element bearings. Although existing deep learning …

Bearing is one of the most crucial parts in induction motor (IM) as a result there is a constant
call for effective diagnosis of bearing faults for reliable operation. Infrared thermography …

Machine learning methods are widely used for rolling bearing fault diagnosis. Most of them
are based on a basic assumption that training and testing data are adequate and follow the …