Context Predictive maintenance is a technique for creating a more sustainable, safe, and
profitable industry. One of the key challenges for creating predictive maintenance systems is …

In this paper, we analyze the literature concerning the implementation of digital twins (DTs)
for zero-defect manufacturing (ZDM) following a systematic method and, guided by a …

Predictive maintenance, quality management, and zero-defect manufacturing are among the
most prominent smart manufacturing use cases in the Industry4. 0 era. Nevertheless, the …

This paper examines the integration of Industry 5.0 principles with advanced predictive
maintenance (PdM) and condition monitoring (CM) practices, based on Industry 4.0's …

The significant progress in the electric automotive industry brought a higher need for new
technological innovations. Digital Twin (DT) is one of the hottest trends of the fourth …

Abstract Context Digital Twin-based predictive maintenance systems are frequently
integrated into complex systems. The success of the integration depends on the design of …

As a transmission component, the gear has been obtained widespread attention. The
remaining useful life (RUL) prediction of gear is critical to the prognostics health …

This comprehensive review explores the applications and challenges of Digital Twin (DT)
technology in smart grids. As power grid systems rapidly evolve to meet the increasing …

The Cyber-Physical and Intelligent Robotics Laboratory has been digitally recreated, and it
includes all the key elements that allow 6-axis industrial robots to perform PTP, LIN, and …

With the rapid progress of network technologies and sensors, monitoring the sensor data
such as pressure, temperature, current, vibration and other electrical, mechanical and …