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 …

Digital twin for railway: A comprehensive survey

S Ghaboura, R Ferdousi, F Laamarti, C Yang… - IEEE …, 2023 - ieeexplore.ieee.org
Digital transformation has been prioritized in the railway industry to bring automation to
railway operations. Digital Twin (DT) technology has recently gained attention in the railway …

Towards AI-assisted digital twins for smart railways: preliminary guideline and reference architecture

L De Donato, R Dirnfeld, A Somma… - Journal of Reliable …, 2023 - Springer
In the last years, there has been a growing interest in the emerging concept of digital twins
(DTs) among software engineers and researchers. DTs not only represent a promising …

Machine and Deep Learning for Digital Twin Networks: A Survey

B Qin, H Pan, Y Dai, X Si, X Huang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Digital twin (DT) is a technology that precisely replicates physical entities and seamlessly
connects physical entities with virtual counterparts, which facilitates precise understanding …

A Literature Review on the Development and Creation of Digital Twins, Cyber-Physical Systems, and Product-Service Systems

M Fett, F Wilking, S Goetz, E Kirchner, S Wartzack - Sensors, 2023 - mdpi.com
Digital Twins offer vast potential, yet many companies, particularly small and medium-sized
enterprises, hesitate to implement them. This hesitation stems partly from the challenges …

A reusable AI-enabled defect detection system for railway using ensembled CNN

R Ferdousi, F Laamarti, C Yang, AE Saddik - Applied Intelligence, 2024 - Springer
Accurate defect detection is crucial for ensuring the trustworthiness of intelligent railway
systems. Current approaches either rely on static ensembling of Convolutional Neural …

Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Railway Defect Detection

R Ferdousi, C Yang, MA Hossain, F Laamarti… - Cognitive …, 2024 - Springer
Recent advancements in cognitive computing, through the integration of artificial intelligence
(AI) techniques, have facilitated the development of intelligent cognitive systems (ICS). This …

Integrating AI and DTs: challenges and opportunities in railway maintenance application and beyond

R Dirnfeld, L De Donato, A Somma, MS Azari… - …, 2024 - journals.sagepub.com
In the last years, there has been a growing interest in the emerging concept of digital twin
(DT) as it represents a promising paradigm to continuously monitor cyber–physical systems …

Digital Twins and Sustainability: A Comprehensive Review of Limitations and Opportunities

S Petrov - 2023 - gupea.ub.gu.se
During the past few years there has been an increasing push to deliver sustainable products
and improve production processes to meet the growing demand faced by various types of …