[HTML][HTML] Industrial digital twins at the nexus of NextG wireless networks and computational intelligence: A survey

S Zeb, A Mahmood, SA Hassan, MDJ Piran… - Journal of Network and …, 2022 - Elsevier
By amalgamating recent communication and control technologies, computing and data
analytics techniques, and modular manufacturing, Industry 4.0 promotes integrating cyber …

[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 …

Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing

Y Zhang, JC Ji, Z Ren, Q Ni, F Gu, K Feng, K Yu… - Reliability Engineering & …, 2023 - Elsevier
Fault diagnosis of rolling bearings has attracted extensive attention in industrial fields, which
plays a vital role in guaranteeing the reliability, safety, and economical efficiency of …

Advanced manufacturing in industry 5.0: A survey of key enabling technologies and future trends

W Xiang, K Yu, F Han, L Fang, D He… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
A revolution in advanced manufacturing has been driven by digital technology in the fourth
industrial revolution, also known as Industry 4.0, and has resulted in a substantial increase …

Deep discriminative transfer learning network for cross-machine fault diagnosis

Q Qian, Y Qin, J Luo, Y Wang, F Wu - Mechanical Systems and Signal …, 2023 - Elsevier
Many domain adaptation methods have been presented to deal with the distribution
alignment and knowledge transfer between the target domain and the source domain …

Digital twin-driven fault diagnosis method for composite faults by combining virtual and real data

C Yang, B Cai, Q Wu, C Wang, W Ge, Z Hu… - Journal of Industrial …, 2023 - Elsevier
The subsea production system is essential for the subsea production of oil and gas. Real-
time monitoring can ensure safe production. The subsea production control system is the …

Early performance degradation of ceramic bearings by a twin-driven model

T Li, H Shi, X Bai, K Zhang, G Bin - Mechanical Systems and Signal …, 2023 - Elsevier
Early subsurface cracks make significant changes to the dynamic responses of full ceramic
ball bearings, and complex space environment brings challenges to the status monitoring of …

A calibration-based hybrid transfer learning framework for RUL prediction of rolling bearing across different machines

Y Deng, S Du, D Wang, Y Shao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The effective remaining useful life (RUL) prediction of rolling bearings could guarantee
mechanical equipment reliability and stability. The hybrid physical and data-driven …

BIM information integration based VR modeling in digital twins in industry 5.0

W Wang, H Guo, X Li, S Tang, Y Li, L Xie… - Journal of Industrial …, 2022 - Elsevier
This study aims to improve the efficiency of construction efficiency to ensure the
infrastructure needs of urban development. Targeting at realizing the intelligent …

Machinery fault diagnosis based on domain adaptation to bridge the gap between simulation and measured signals

Y Lou, A Kumar, J Xiang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In intelligent fault diagnosis, the success of artificial intelligence (AI) models is highly
dependent on labeled training samples, which may not be obtained in real-world …