A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives

KYH Lim, P Zheng, CH Chen - Journal of Intelligent Manufacturing, 2020 - Springer
With the rapid advancement of cyber-physical systems, Digital Twin (DT) is gaining ever-
increasing attention owing to its great capabilities to realize Industry 4.0. Enterprises from …

Intelligent welding system technologies: State-of-the-art review and perspectives

B Wang, SJ Hu, L Sun, T Freiheit - Journal of Manufacturing Systems, 2020 - Elsevier
Welding systems are being transformed by the advent of modern information technologies
such as the internet of things, big data, artificial intelligence, cloud computing, and intelligent …

[HTML][HTML] Significance of sensors for industry 4.0: Roles, capabilities, and applications

M Javaid, A Haleem, RP Singh, S Rab, R Suman - Sensors International, 2021 - Elsevier
Sensors play a crucial role in factory automation in making the system intellectual. Different
types of sensors are available as per the suitability and applications; some of them are …

[HTML][HTML] Exploring impact and features of machine vision for progressive industry 4.0 culture

M Javaid, A Haleem, RP Singh, S Rab, R Suman - Sensors International, 2022 - Elsevier
Abstract Machine Vision (MV), like other digital technologies, is a critical component of
Industry 4.0. The high volume of data accessible by visual equipment can well quickly detect …

Exponential disruptive technologies and the required skills of industry 4.0

O Bongomin, G Gilibrays Ocen… - Journal of …, 2020 - Wiley Online Library
The 21st century has witnessed precipitous changes spanning from the way of life to the
technologies that emerged. We have entered a nascent paradigm shift (industry 4.0) where …

Indirect monitoring of machining characteristics via advanced sensor systems: a critical review

ME Korkmaz, MK Gupta, Z Li, GM Krolczyk… - … International Journal of …, 2022 - Springer
On-line monitoring of the machining processes provides to detect the amount and type of
tool wear which is critical for the determination of remaining useful lifetime of cutting tool …

Manufacturing process monitoring using time-frequency representation and transfer learning of deep neural networks

Y Liao, I Ragai, Z Huang, S Kerner - Journal of Manufacturing Processes, 2021 - Elsevier
On-line process monitoring increases product quality, improves process stability, and lowers
costs in manufacturing. This paper presents a study of using time-frequency representation …

Digital twin: current scenario and a case study on a manufacturing process

RB Roy, D Mishra, SK Pal, T Chakravarty… - … International Journal of …, 2020 - Springer
In the current scenario, industries need to have continuous improvement in their
manufacturing processes. Digital twin (DT), a virtual representation of a physical entity …

From Industry 4.0 digital manufacturing to Industry 5.0 digital society: a roadmap toward human-centric, sustainable, and resilient production

M Ghobakhloo, HA Mahdiraji, M Iranmanesh… - Information Systems …, 2024 - Springer
The present study addresses two critical controversies surrounding the emerging Industry
5.0 agenda. Firstly, it seeks to elucidate the driving forces behind the accelerated …

Advanced welding manufacturing: a brief analysis and review of challenges and solutions

YM Zhang, YP Yang, W Zhang… - Journal of …, 2020 - asmedigitalcollection.asme.org
Welding is a major manufacturing process that joins two or more pieces of materials together
through heating/mixing them followed by cooling/solidification. The goal of welding …