Predictive maintenance is one of the major tasks in today's modern industries. All rotating
machines consisting of rotating elements such as gears, bearings etc are considered as the …

Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of
machinery. The majority of these machines comprise rotating components and are called …

The monitoring of rotating machinery is an essential task in today's production processes.
Currently, several machine learning and deep learning-based modules have achieved …

Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery
provides a comprehensive introduction of intelligent fault diagnosis and RUL prediction …

As the concept of Industry 4.0 is introduced, artificial intelligence-based fault analysis is
attracted the corresponding community to develop effective intelligent fault diagnosis and …

Fault diagnosis of rotating machines is an important task to prevent machinery downtime,
and provide verifiable support for condition-based maintenance (CBM) decision-making …

Abstract Machine fault diagnostic and prognostic techniques have been the considerable
subjects of condition-based maintenance system in the recent time due to the potential …

Over the decades, vibration-based condition monitoring has become well accepted and
widely used to identify faults in rotating machines. However, the quantification of faults may …

Fault diagnosis plays an essential role in reducing the maintenance costs of rotating
machinery manufacturing systems. In many real applications of fault detection and …

Early fault diagnosis of rotating machinery is crucial in the industry. The network parameters
of the traditional deep learning-based fault diagnosis method are optimized only by the …