A review on guided-ultrasonic-wave-based structural health monitoring: From fundamental theory to machine learning techniques
The development of structural health monitoring (SHM) techniques is of great importance to
improve the structural efficiency and safety. With advantages of long propagation distances …
improve the structural efficiency and safety. With advantages of long propagation distances …
Advances in dynamic load identification based on data-driven techniques
Dynamic loads on engineering structures are often difficult to measure directly. Therefore,
indirect identification methods based on dynamic responses are commonly used. However …
indirect identification methods based on dynamic responses are commonly used. However …
TanhExp: A smooth activation function with high convergence speed for lightweight neural networks
X Liu, X Di - IET Computer Vision, 2021 - Wiley Online Library
Lightweight or mobile neural networks used for real‐time computer vision tasks contain
fewer parameters than normal networks, which lead to a constrained performance. Herein, a …
fewer parameters than normal networks, which lead to a constrained performance. Herein, a …
A feature learning-based method for impact load reconstruction and localization of the plate-rib assembled structure
T Chen, L Guo, A Duan, H Gao… - Structural Health …, 2022 - journals.sagepub.com
Impact load is the load that machines frequently experienced in engineering applications. Its
time-history reconstruction and localization are crucial for structural health monitoring and …
time-history reconstruction and localization are crucial for structural health monitoring and …
Structural health monitoring impact classification method based on Bayesian neural network
This paper proposes a novel method for multi-class classification and uncertainty
quantification of impact events on a flat composite plate with a structural health monitoring …
quantification of impact events on a flat composite plate with a structural health monitoring …
Uncertainty quantification for impact location and force estimation in composite structures
AH Seno, MHF Aliabadi - Structural Health Monitoring, 2022 - journals.sagepub.com
Structural health monitoring of impact location and severity using Lamb waves has been
proven to be a reliable method under laboratory conditions. However, real-life operational …
proven to be a reliable method under laboratory conditions. However, real-life operational …
Input estimation of nonlinear systems using probabilistic neural network
SS Eshkevari, L Cronin, SS Eshkevari… - Mechanical Systems and …, 2022 - Elsevier
Input estimation is an involved task with wide applications in nonlinear dynamic systems.
Model-based input estimation methods are not feasible solutions for problems in which the …
Model-based input estimation methods are not feasible solutions for problems in which the …
A non-negative Bayesian learning method for impact force reconstruction
Detecting and identifying impact events, which may cause severe damages, is important in
assessment of the integrity of many engineering structures. This paper presents a new …
assessment of the integrity of many engineering structures. This paper presents a new …
Measurement and prediction of vibration displacement in micro-milling of nickel-based superalloy
The relative vibration between the micro-milling cutter and workpiece influences the
processing quality and tool life. To solve the difficult problem of measurement of vibration …
processing quality and tool life. To solve the difficult problem of measurement of vibration …
[HTML][HTML] Impact force identification for composite structures using adaptive wavelet-regularised deconvolution
Impact force identification (IFI) through deconvolution methods from measured structural
responses poses a challenge due to the ill-posed nature of the inversion problem …
responses poses a challenge due to the ill-posed nature of the inversion problem …