Bayesian system identification based on hierarchical sparse Bayesian learning and Gibbs sampling with application to structural damage assessment-Reference-Cited by-同舟云学术

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Bayesian system identification based on hierarchical sparse Bayesian learning and Gibbs sampling with application to structural damage assessment

Published:2017-05 Issue: Volume:318 Page:382-411
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Huang Yong,Beck James L.,Li Hui

Funder

National Natural Science Foundation of China

California Institute of Technology

Office of China Postdoctoral Council

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference44 articles.

1. Bayesian system identification based on probability logic;Beck;Struct. Control Health Monit.,2010

2. System identification in structural engineering;Sirca;Sci. Iran.,2012

3. Past, present and future of nonlinear system identification in structural dynamics;Kerschen;Mech. Syst. Signal Process.,2006

4. Aircraft System Identification–Theory and Practice;Klein,2006

5. Structural-system identification.1. Theory;Ghanem;J. Eng. Mech.-ASCE,1995

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