Efficient Laplace prior-based sparse Bayesian learning for structural damage identification and uncertainty quantification-Reference-Cited by-同舟云学术

Efficient Laplace prior-based sparse Bayesian learning for structural damage identification and uncertainty quantification

Published:2023-04 Issue: Volume:188 Page:110000
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Xie Dingxuan,Lu Zhong-Rong,Li Gen,Liu Jike,Wang Li^ORCID

Funder

National Natural Science Foundation of China

Special Project for Research and Development in Key areas of Guangdong Province

Publisher

Elsevier BV

Subject

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

Reference56 articles.

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3. H. Sohn, C.R. Farrar, F. Hemez, J. Czarnecki, A Review of Structural Health Monitoring Literature 1996 – 2007.

4. Vibration-based Damage Identification Methods: A Review and Comparative Study;Fan;Struct. Health Monit.,2011

5. The State-of-the-Art on Framework of Vibration-Based Structural Damage Identification for Decision Making;Kong;Appl. Sci.,2017

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