A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …
attention because of its promise to further optimize process design, quality control, health …
[HTML][HTML] A systematic review of data fusion techniques for optimized structural health monitoring
Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
A transfer learning approach for acoustic emission zonal localization on steel plate-like structure using numerical simulation and unsupervised domain adaptation
The detection and localization of damage in metallic structures using acoustic emission (AE)
monitoring and artificial intelligence technology such as deep learning has been widely …
monitoring and artificial intelligence technology such as deep learning has been widely …
Predicting bridge longitudinal displacement from monitored operational loads with hierarchical CNN for condition assessment
Over the past few years, longitudinal displacement has gained popularity as a means of
evaluating the condition of long-span cable-supported bridge components, such as …
evaluating the condition of long-span cable-supported bridge components, such as …
High-rate structural health monitoring and prognostics: An overview
Structural health monitoring (SHM) includes both static and highly dynamic engineering
systems. With the advent of real-time sensing, edge-computing, and high-bandwidth …
systems. With the advent of real-time sensing, edge-computing, and high-bandwidth …
Ensemble of long short-term memory recurrent neural network for semi-active control of tuned liquid wall damper
Z Wang, F Ubertini, S Laflamme - Engineering Structures, 2022 - Elsevier
A critical challenge in structural control is the design of controllers capable of rapid
adaptation to uncertainties, including changes in local dynamics and unknown parameters …
adaptation to uncertainties, including changes in local dynamics and unknown parameters …
Multi-step ahead state estimation with hybrid algorithm for high-rate dynamic systems
High-rate systems are defined as engineering systems that undergo accelerations of
amplitudes typically greater than 100 gn over less than 100 ms. Examples include adaptive …
amplitudes typically greater than 100 gn over less than 100 ms. Examples include adaptive …
[PDF][PDF] 交通环境能量采集及自供能交通设施健康状态监测研究进展
杜荣华， 朱胜亿， 魏克湘， 张文明， 邹鸿翔 - 仪器仪表学报, 2022 - femt.cnjournals.com
从交通环境中采集能量为交通设施健康状态监测供电, 不仅便捷, 可持续, 而且零碳环保,
有益于我国“双碳” 目标实现. 目前关于交通环境能量采集, 交通设施健康状态监测的研究有很多 …
有益于我国“双碳” 目标实现. 目前关于交通环境能量采集, 交通设施健康状态监测的研究有很多 …
Electro-hydraulic SBW fault diagnosis method based on novel 1DCNN-LSTM with attention mechanisms and transfer learning
S Zhang, W Liang, W Zhao, Z Luan, C Wang… - Mechanical Systems and …, 2024 - Elsevier
Abstract The Electro-hydraulic Steer-by-Wire (EH-SBW) is the future trend of commercial
vehicle steering systems due to their dual actuator redundancy. The accurate fault diagnosis …
vehicle steering systems due to their dual actuator redundancy. The accurate fault diagnosis …
Prediction of mooring tensions of a wave energy converter considering the effects of nonlinear axial stiffness by a deep learning neural network
A validated numerical tool is applied to conduct a fully coupled dynamic analysis for a wave
energy converter moored by three taut nylon ropes with nonlinear axial stiffness considered …
energy converter moored by three taut nylon ropes with nonlinear axial stiffness considered …