Dynamic load identification for mechanical systems: A review

R Liu, E Dobriban, Z Hou, K Qian - Archives of Computational Methods in …, 2022 - Springer
Due to the great challenges of measuring forces directly, identifying dynamic loads based on
accessible responses is a crucial problem in engineering, helping ensure integrity and …

Artificial neural networks for vibration based inverse parametric identifications: A review

MS Hossain, ZC Ong, Z Ismail, S Noroozi… - Applied Soft Computing, 2017 - Elsevier
Vibration behavior of any solid structure reveals certain dynamic characteristics and property
parameters of that structure. Inverse problems dealing with vibration response utilize the …

Impact load identification of nonlinear structures using deep Recurrent Neural Network

JM Zhou, L Dong, W Guan, J Yan - Mechanical Systems and Signal …, 2019 - Elsevier
In this paper, a novel impact load identification method of nonlinear structures by using deep
Recurrent Neural Network (RNN) is proposed. The deep RNN model, mainly consisting of …

Non-convex sparse regularization via convex optimization for impact force identification

J Liu, B Qiao, Y Wang, W He, X Chen - Mechanical Systems and Signal …, 2023 - Elsevier
Instead of traditional Tikhonov regularization, sparse regularization methods like ℓ 1
regularization have been a popular choice for impact force identification because it can …

Impact-force sparse reconstruction from highly incomplete and inaccurate measurements

B Qiao, X Zhang, J Gao, X Chen - Journal of Sound and Vibration, 2016 - Elsevier
The classical l 2-norm-based regularization methods applied for force reconstruction inverse
problem require that the number of measurements should not be less than the number of …

K-BP neural network-based strain field inversion and load identification for CFRP

J Li, J Yan, J Zhu, X Qing - Measurement, 2022 - Elsevier
The strain information and loads conditions of composite wings are important basis for
aircraft health evaluation. In this paper, firstly to demonstrate the accuracy of Fiber Bragg …

A Kalman filter based ARX time series modeling for force identification on flexible manipulators

QC Nguyen, VH Vu, M Thomas - Mechanical Systems and Signal …, 2022 - Elsevier
Multi-axial flexible manipulators are structures typically employed in the maintenance of
large hydropower equipment such as turbine runners. This kind of multi-process robot was …

An online input force time history reconstruction algorithm using dynamic principal component analysis

J Prawin, ARM Rao - Mechanical Systems and Signal Processing, 2018 - Elsevier
The knowledge of dynamic loads acting on a structure is always required for many practical
engineering problems, such as structural strength analysis, health monitoring and fault …

A novel method for force identification based on the discrete cosine transform

B Qiao, X Chen, X Luo, X Xue - … of Vibration and …, 2015 - asmedigitalcollection.asme.org
Force identification is a classical inverse problem, in which the measured data and the
mathematical models of mechanical structures are used to determine the applied force …

[HTML][HTML] Multimodal dispersive waves in a free rail: Numerical modeling and experimental investigation

P Zhang, S Li, A Núñez, Z Li - Mechanical Systems and Signal Processing, 2021 - Elsevier
In this paper, we present a solution method based on finite element (FE) modeling to predict
multimodal dispersive waves in a free rail. As well as the modal behaviors and wavenumber …