Structural damage severity classification from time-frequency acceleration data using convolutional neural networks-Reference-Cited by-同舟云学术

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Structural damage severity classification from time-frequency acceleration data using convolutional neural networks

Published:2023-08 Issue: Volume:54 Page:236-253
ISSN:2352-0124
Container-title:Structures
language:en
Short-container-title:Structures

Author:

Jamshidi Maziar^ORCID,El-Badry Mamdouh^ORCID

Funder

Natural Sciences and Engineering Research Council of Canada

Compute Canada

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference56 articles.

1. The application of machine learning to structural health monitoring;Worden;Phil Trans R Soc A,2007

2. Machine learning algorithms for damage detection under operational and environmental variability;Figueiredo;Struct Health Monit,2011

3. Structural health monitoring: a machine learning perspective;Farrar,2013

4. A distributed dynamic load identification method based on the hierarchical-clustering-oriented radial basis function framework using acceleration signals under convex-fuzzy hybrid uncertainties;Liu;Mech Syst Sig Process,2022

5. Deep learning;Goodfellow,2016

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