Digital Twin‐Driven Machine Condition Monitoring: A Literature Review

H Liu, M Xia, D Williams, J Sun, H Yan - Journal of Sensors, 2022 - Wiley Online Library
Digital twin (DT), aiming to characterise behaviors of physical entities by leveraging the
virtual replica in real time, is an emerging technology and paradigm at the forefront of the …

Using digital twin for maintenance applications in manufacturing: State of the Art and Gap analysis

P Aivaliotis, K Georgoulias… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
The digital twin concept is more and more appearing in industrial applications including the
field of the predictive maintenance. This paper, initially, summarizes and presents studies …

[HTML][HTML] Digital twin in electrical machine control and predictive maintenance: state-of-the-art and future prospects

G Falekas, A Karlis - Energies, 2021 - mdpi.com
State-of-the-art Predictive Maintenance (PM) of Electrical Machines (EMs) focuses on
employing Artificial Intelligence (AI) methods with well-established measurement and …

Advances of digital twins for predictive maintenance

Y You, C Chen, F Hu, Y Liu, Z Ji - Procedia computer science, 2022 - Elsevier
Digital twins (DT), aiming to improve the performance of physical entities by leveraging the
virtual replica, have gained significant growth in recent years. Meanwhile, DT technology …

Digital Twin for maintenance: A literature review

I Errandonea, S Beltrán, S Arrizabalaga - Computers in Industry, 2020 - Elsevier
Abstract In recent years, Digital Twins (DT) have been implemented in different industrial
sectors, in several applications areas such as design, production, manufacturing, and …

[HTML][HTML] A generic framework for qualifications of digital twins in maintenance

J Liu, X Liu, J Vatn, S Yin - Journal of Automation and Intelligence, 2023 - Elsevier
Digital twins have emerged as a promising technology for maintenance applications,
enabling organizations to simulate and monitor physical assets to improve their …

[HTML][HTML] The advance of digital twin for predictive maintenance: The role and function of machine learning

C Chen, H Fu, Y Zheng, F Tao, Y Liu - Journal of Manufacturing Systems, 2023 - Elsevier
The recent advance of digital twin (DT) has greatly facilitated the development of predictive
maintenance (PdM). DT for PdM enables accurate equipment status recognition and …

[HTML][HTML] Digital twins in condition-based maintenance apps: A case study for train axle bearings

AC Marquez, JAM Alberca, AJG López… - Computers in …, 2023 - Elsevier
Abstract Digital Twins (DTs) are gaining popularity in the context of the fourth industrial
revolution to replicate physical equipment and systems in the digital world. DTs promise …

Digital twin for predictive maintenance

Z Liu, E Blasch, M Liao, C Yang… - NDE 4.0, Predictive …, 2023 - spiedigitallibrary.org
Digital twin engineering is a disruptive technology that creates a living data model of
industrial assets. The living model will continually adapt to changes in the environment or …

On the requirements of digital twin-driven autonomous maintenance

S Khan, M Farnsworth, R McWilliam… - Annual Reviews in …, 2020 - Elsevier
Autonomy has become a focal point for research and development in many industries.
Whilst this was traditionally achieved by modelling self-engineering behaviours at the …