Group Relevance Vector Machine for sparse force localization and reconstruction-Reference-Cited by-同舟云学术

Group Relevance Vector Machine for sparse force localization and reconstruction

Published:2021-12 Issue: Volume:161 Page:107900
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Feng Wei,Li Qiaofeng,Lu Qiuhai,Li Chen,Wang Bo

Funder

Ministry of Science and Technology of the People's Republic of China

National Major Science and Technology Projects of China

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference48 articles.

1. Identification of traffic-induced nodal excitations of truss bridges through heterogeneous data fusion;Sun;Smart Materials and Structures,2015

2. Verification of joint input-state estimation for force identification by means of in situ measurements on a footbridge;Maes;Mechanical Systems and Signal Processing,2016

3. Moving force identification based on redundant concatenated dictionary and weighted ℓ_1-norm regularization;Pan;Mechanical Systems and Signal Processing,2018

4. Comparison of regularization methods for moving force identification with ill-posed problems;Chen;Journal of Sound and Vibration,2020

5. Indirect measurement of the impulsive load to a nonlinear system from dynamic responses: inverse problem formulation;Jang;Mechanical Systems and Signal Processing,2010

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