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 …
NDKM Eaty, P Bagade - Expert Systems with Applications, 2023 - Elsevier
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 …
D Kim, M Choi, J Um - Robotics and Computer-Integrated Manufacturing, 2024 - Elsevier
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 …
BR Galarza, P Ayala, S Manzano, MV Garcia - Robotics, 2023 - mdpi.com
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 …
R Zhang, Z Zeng, Y Li, J Liu, Z Wang - Entropy, 2022 - mdpi.com
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 …
A Dianov - IEEE Journal of Emerging and Selected Topics in …, 2022 - ieeexplore.ieee.org
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 …
J Smeets, K Öztürk, R Liebich - Transportation research part C: emerging …, 2024 - Elsevier
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 …