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 …

Predictive maintenance is a field of study whose main objective is to optimize the timing and
type of maintenance to perform on various industrial systems. This aim involves maximizing …

The availability of computational power in the domain of Prognostics and Health
Management (PHM) with deep learning (DL) applications has attracted researchers …

Degradation detection and remaining useful life (RUL) prediction are the essential tasks of
Prognostics and Health Management (PHM) designed to increase the reliability of key …

The fourth industrial revolution is a profound transformation utilizing emerging technologies
like smart automation, large-scale machine-to-machine communication, and the internet of …

Predicting bearing failures is a vital component of machine health monitoring since bearings
are essential parts of rotary machines, particularly large motor machines. In addition …

The widespread adoption of cyber-physical systems and other cutting-edge digital
technology in manufacturing industry production facilities may motivate stakeholders to …

Remaining useful life (RUL) prediction is one of the key technologies of aircraft prognosis
and health management (PHM) which could provide better maintenance decisions. In order …

With increasingly advanced Internet of Things (IoT) technology, the composition of workshop
equipment has become more and more complex. Based on this, the rate of system …

The multisource information fusion technique is currently one of the common methods for
rolling bearing fault diagnosis. However, the current research rarely fuses information from …