Motors are the higher energy-conversion devices that consume around 40% of the global
electrical generated energy. Induction motors are the most popular motor type due to their …

The steady increase in energy demands has led to ever-increasing “energy generation.”
This, coupled with the need for higher efficiency, flexibility, and reliability, has boosted the …

The current Industry 4.0 revolution promotes the use of cyber–physical systems to enhance
manufacturing and other industrial processes via automation, real-time analysis, etc. Data …

Training robots in real-world environments can be challenging due to time and cost
constraints. To overcome these limitations, robots can be trained in virtual environments …

Over the past few years, the industry has experienced significant growth, leading to what is
now known as Industry 4.0. This advancement has been characterized by the automation of …

Bearing is a key part of rotating machinery. Accurate prediction of bearing life can avoid
serious failures. To address the current problem of low accuracy and poor predictability of …

With the advancement of industrial manufacturing and an increase in introduction of robots
in the workspace, the need of safe operation, communication and information sharing is …

In this study, we propose a novel method for enhancing the control performance of a
degraded robot manipulator by leveraging digital twins and proximal policy optimization, a …

The knowledge of the exact value of motor phase resistance is extremely important for
modern electrical drives, which use it for tuning of current controllers, position estimators …

The digital twin, with its descriptive and predictive services provides promising prospects in
the automotive field. Increased insights in customer behavior and vehicle states through …