A state-of-the-art survey on Augmented Reality-assisted Digital Twin for futuristic human-centric industry transformation
Abstract The combination of Augmented Reality (AR) and Digital Twin (DT) has begun to
show its potential nowadays, leading to a growing research interest in both academia and …
show its potential nowadays, leading to a growing research interest in both academia and …
A review of digital twin-driven machining: From digitization to intellectualization
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 …
establishing the high-fidelity DT model, which has gradually become a hot spot in intelligent …
Maintenance planning recommendation of complex industrial equipment based on knowledge graph and graph neural network
Maintenance planning is a significant part of predictive maintenance, which involves task
planning, resource scheduling, and prevention. With large-scale sensor systems in modern …
planning, resource scheduling, and prevention. With large-scale sensor systems in modern …
Transformer-based hierarchical latent space VAE for interpretable remaining useful life prediction
Data-driven prediction of remaining useful life (RUL) has emerged as one of the most sought-
after research in prognostics and health management (PHM). Nevertheless, most RUL …
after research in prognostics and health management (PHM). Nevertheless, most RUL …
[HTML][HTML] An artificial intelligence approach for improving maintenance to supervise machine failures and support their repair
I Rojek, M Jasiulewicz-Kaczmarek, M Piechowski… - Applied Sciences, 2023 - mdpi.com
Featured Application Maintaining production systems within Industry 4.0 facilitates the
application of artificial intelligence methods, techniques and tools to predict potential failures …
application of artificial intelligence methods, techniques and tools to predict potential failures …
A bio-inspired LIDA cognitive-based Digital Twin architecture for unmanned maintenance of machine tools
Affected by COVID-19, the maintenance process of machine tools is significantly hindered,
while unmanned maintenance becomes an emerging trend in such background. So far …
while unmanned maintenance becomes an emerging trend in such background. So far …
A cyber-physical robotic mobile fulfillment system in smart manufacturing: The simulation aspect
Incorporating mobile robots into the production shop-floor helps realize the concept of smart
production, and it is considered one of the approaches to enhance manufacturing and …
production, and it is considered one of the approaches to enhance manufacturing and …
Residual-hypergraph convolution network: A model-based and data-driven integrated approach for fault diagnosis in complex equipment
Timely and accurate fault diagnosis plays a critical role in today's smart manufacturing
practices, saving invaluable time and expenditure on maintenance process. To date …
practices, saving invaluable time and expenditure on maintenance process. To date …
Using machine learning and deep learning algorithms for downtime minimization in manufacturing systems: an early failure detection diagnostic service
Accurate detection of possible machine failure allows manufacturers to identify potential fault
situations in processes to avoid downtimes caused by unexpected tool wear or …
situations in processes to avoid downtimes caused by unexpected tool wear or …
Integrated system-level prognosis for hybrid systems subjected to multiple intermittent faults
C Xiao, P Zheng - Reliability Engineering & System Safety, 2023 - Elsevier
Considering the condition that multiple intermittent faults occur sequentially or
simultaneously in hybrid systems, this paper proposes an integrated system-level prognosis …
simultaneously in hybrid systems, this paper proposes an integrated system-level prognosis …