A state of the art in digital twin for intelligent fault diagnosis
C Hu, Z Zhang, C Li, M Leng, Z Wang, X Wan… - Advanced Engineering …, 2025 - Elsevier
The intelligent manufacturing and digital technologies have rapidly advanced with the
advent of the industry 4.0 era, placing higher demands on the stability, reliability, and safety …
advent of the industry 4.0 era, placing higher demands on the stability, reliability, and safety …
[HTML][HTML] Towards sustainable cognitive digital twins: A portfolio management tool for waste mitigation
The rapid integration of Cognitive Digital Twins (CDTs) across various industries has
revolutionized operational practices, leading to enhanced efficiency and improved decision …
revolutionized operational practices, leading to enhanced efficiency and improved decision …
Ontology and production rules-based dynamic knowledge base construction methodology for machining process
L Guo, T Hu, L Dong, S Ma - Journal of Manufacturing Systems, 2024 - Elsevier
With advancements in manufacturing, knowledge engineering has become important in
supporting intelligent decision-making within manufacturing systems. However, existing …
supporting intelligent decision-making within manufacturing systems. However, existing …
Learning Simulation-Based Digital Twins for Discrete Material Flow Systems: A Review
C Schwede, D Fischer - 2024 Winter Simulation Conference …, 2024 - ieeexplore.ieee.org
Digital Twins (DTs) play a crucial role in the fourth industrial revolution. In the context of
discrete material flow systems, companies under constant competitive pressure seek …
discrete material flow systems, companies under constant competitive pressure seek …
[HTML][HTML] A comparison of machine learning classifiers in predicting safety for a multi-component dynamic system representation of an autonomous vessel
To operate autonomously for weeks to months at a time, crewless vessels must be able to
integrate uncertain estimates of sub-system health and weather forecasts into operational …
integrate uncertain estimates of sub-system health and weather forecasts into operational …
A Human-Centric Design Method for Industrial Centrifugal Pump Based on Digital Twin
Y Shi, B Sheng, J Zhu, G Chen, T Zhang, R Luo - Processes, 2023 - mdpi.com
The worldwide demand for customized centrifugal pumps in numerous industries is
intensifying steadily, posing significant challenges to the traditional design model …
intensifying steadily, posing significant challenges to the traditional design model …
Optimizing Heterogeneous Vehicle Routes for Urban Distribution Considering the Three-Dimensional Bin Packing Problem of Electric Meters
Z He, M Zhang, C Lin, J Zhao, K Shi, Z Ai - IEEE Access, 2024 - ieeexplore.ieee.org
With the establishment of smart grids, there is a growing demand for metering electric meters
in urban areas. Given the diverse sizes and delicate nature of these meters, traditional …
in urban areas. Given the diverse sizes and delicate nature of these meters, traditional …
Digital-Twin-Based Monitoring System for Slab Production Process
T Fu, P Li, C Shi, Y Liu - Future Internet, 2024 - mdpi.com
The growing demand for high-quality steel across various industries has led to an increasing
need for superior-grade steel. The quality of slab ingots is a pivotal factor influencing the …
need for superior-grade steel. The quality of slab ingots is a pivotal factor influencing the …
Dynamically adaptive cascading updates for hierarchical digital twins
H Guo, S Wang, J Shi, Y Niu, F Lizzio… - Measurement Science …, 2024 - iopscience.iop.org
Traditional sensors encounter challenges such as high collection costs, insufficient
measurement points, and low data quality in the monitoring and maintenance of modern …
measurement points, and low data quality in the monitoring and maintenance of modern …
Exploring Music Style Transfer and Innovative Composition using Deep Learning Algorithms.
S He - International Journal of Advanced Computer Science …, 2024 - search.ebscohost.com
Automatic music generation represents a challenging task within the field of artificial
intelligence, aiming to harness machine learning techniques to compose music that is …
intelligence, aiming to harness machine learning techniques to compose music that is …