[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 …

Advancements and challenges of digital twins in industry

F Tao, H Zhang, C Zhang - Nature Computational Science, 2024 - nature.com
Digital twins, which are considered an effective approach to realize the fusion between
virtual and physical spaces, have attracted a substantial amount of attention in the past …

Resilient digital twin modeling: A transferable approach

J Song, S Liu, T Ma, Y Sun, F Tao, J Bao - Advanced Engineering …, 2023 - Elsevier
High-fidelity digital twin models include not only concrete geometric models but also intrinsic
models such as mechanism models and data models, which require high information …

Prognostics and health management via long short-term digital twins

Y Sun, Y Lu, J Bao, F Tao - Journal of Manufacturing Systems, 2023 - Elsevier
Current digital twin-based Prognostics and Health Management (PHM) research mainly
focuses on prediction with a few parameters or a single event. However, when the …

A product performance rapid simulation approach driven by digital twin data: Part 1. For variable product structures

L Dong, T Hu, P Yue, Q Meng, S Ma - Advanced Engineering Informatics, 2024 - Elsevier
In the product design stage, the effective performance analysis method is the premise to
guarantee the application performance of products. However, digital simulation, as a widely …

Digital twin-enabled collision early warning system for marine piling: Application to a wharf project in China

M Li, Q Ren, M Li, T Kong, H Li, H Tian, S Liu - Advanced Engineering …, 2024 - Elsevier
The safety and effectiveness of marine piling construction are hindered by the display of
imprecise spatial information and the potential for collisions due to the complexity of pile …

Manufacturing crisis and twin-oriented manufacturing

W Xiao, T Qiu, Q Liu, G Zhao, H Xing, R Li - Journal of Manufacturing …, 2024 - Elsevier
In the last decade, new concepts related to intelligent manufacturing have been proposed
frequently, such as 3D printing, big data, machine learning, cloud manufacturing, cyber …

Digital Twin Modeling Enabled Machine Tool Intelligence: A Review

L Zhang, J Liu, C Zhuang - Chinese Journal of Mechanical Engineering, 2024 - Springer
Abstract Machine tools, often referred to as the “mother machines” of the manufacturing
industry, are crucial in developing smart manufacturing and are increasingly becoming more …

A product performance rapid simulation approach driven by digital twin data: Part 2. For variable operating conditions

L Dong, T Hu, J Li, Q Meng, S Ma - Advanced Engineering Informatics, 2024 - Elsevier
As mentioned in Part 1, for product iterative design, the digital simulation method, as the
product performance analysis method, has the problems of time cost and computing …

Digital Twin-Driven Reinforcement Learning Method for Marine Equipment Vehicles Scheduling Problem

X Shen, S Liu, B Zhou, T Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In the traditional marine equipment construction process, the material transportation vehicle
scheduling method dominated by manual experience has shown great limitations, which is …