Digital Twin (DT) is acknowledged as a promising technology for life-cycle management of
industrial products. Rolling bearings, the joints of machines, are largely responsible for the …

Digital twin is an important technology for grasping states of mechanical systems in real
time. However, there are few studies on how to establish life-cycle digital twin models of …

Abstract The emergence of “Digital Twin” has raised higher demands for the health
management of industrial equipment. Sliding bearings, as crucial supporting components in …

Abstract Digital Twins (DTs) are gaining popularity in the context of the fourth industrial
revolution to replicate physical equipment and systems in the digital world. DTs promise …

Industry is increasingly turning to predictive maintenance by using digital twins (DTs) to
follow and predict evolution of mechanical system. This article presents, compares and …

The study of bearing local defect extension is of importance for bearing health monitoring
and management. However, the local defect sizes of rolling bearings are difficult to monitor …

Digital twin (DT), aiming to characterise behaviors of physical entities by leveraging the
virtual replica in real time, is an emerging technology and paradigm at the forefront of the …

In industry, accurate remaining useful life (RUL) prediction is critical in improving system
reliability and reducing downtime and accident risk. Numerous data-driven RUL prediction …

Accurate monitoring and prediction of tool wear conditions have an important influence on
the cutting performance, thereby improving the machining precision of the workpiece and …

The digital twin concept is more and more appearing in industrial applications including the
field of the predictive maintenance. This paper, initially, summarizes and presents studies …