The role of ai, machine learning, and big data in digital twinning: A systematic literature review, challenges, and opportunities

MM Rathore, SA Shah, D Shukla, E Bentafat… - IEEE …, 2021 - ieeexplore.ieee.org
Digital twinning is one of the top ten technology trends in the last couple of years, due to its
high applicability in the industrial sector. The integration of big data analytics and artificial …

A survey on digital twin for industrial internet of things: Applications, technologies and tools

H Xu, J Wu, Q Pan, X Guan… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Digital twin for the industrial Internet of Things (DT-IIoT) creates a high-fidelity, fine-grained,
low-cost digital replica of the cyber-physical integrated Internet for industry. Powered by …

A review of digital twin-driven machining: From digitization to intellectualization

S Liu, J Bao, P Zheng - Journal of Manufacturing Systems, 2023 - Elsevier
Digital twin (DT) technology can realize the quality control of the dynamic cutting process by
establishing the high-fidelity DT model, which has gradually become a hot spot in intelligent …

Smart manufacturing process and system automation–a critical review of the standards and envisioned scenarios

Y Lu, X Xu, L Wang - Journal of Manufacturing Systems, 2020 - Elsevier
Smart manufacturing is arriving. It promises a future of mass-producing highly personalized
products via responsive autonomous manufacturing operations at a competitive cost. Of …

A survey on digital twin: Definitions, characteristics, applications, and design implications

BR Barricelli, E Casiraghi, D Fogli - IEEE access, 2019 - ieeexplore.ieee.org
When, in 1956, Artificial Intelligence (AI) was officially declared a research field, no one
would have ever predicted the huge influence and impact its description, prediction, and …

A review of digital twin in product design and development

CK Lo, CH Chen, RY Zhong - Advanced Engineering Informatics, 2021 - Elsevier
In the era of digitalization, there are many emerging technologies, such as the Internet of
Things (IoT), Digital Twin (DT), Cloud Computing and Artificial Intelligence (AI), which are …

[HTML][HTML] Smart manufacturing and intelligent manufacturing: A comparative review

B Wang, F Tao, X Fang, C Liu, Y Liu, T Freiheit - Engineering, 2021 - Elsevier
The application of intelligence to manufacturing has emerged as a compelling topic for
researchers and industries around the world. However, different terminologies, namely …

Digital twin for 5G and beyond

HX Nguyen, R Trestian, D To… - IEEE Communications …, 2021 - ieeexplore.ieee.org
Although many countries have started the initial phase of rolling out 5G, it is still in its infancy
with researchers from both academia and industry facing the challenges of developing it to …

Extended reality applications in industry 4.0.–A systematic literature review

LA Cardenas-Robledo, Ó Hernández-Uribe… - Telematics and …, 2022 - Elsevier
Extended reality technologies such as virtual reality, augmented reality, and mixed reality
represents a paradigm that enhances and supports industry 4.0 in diverse settings. To …

[HTML][HTML] Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems

AK Sleiti, JS Kapat, L Vesely - Energy Reports, 2022 - Elsevier
The complex future power plants require digital twin (DT) architecture to achieve high
reliability, availability and maintainability at lower cost. The available research on DT for …