Intelligent health indicator construction for prognostics of composite structures utilizing a semi-supervised deep neural network and SHM data-Reference-Cited by-同舟云学术

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Intelligent health indicator construction for prognostics of composite structures utilizing a semi-supervised deep neural network and SHM data

Published:2023-01 Issue: Volume:117 Page:105502
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Moradi Morteza^ORCID,Broer Agnes^ORCID,Chiachío Juan^ORCID,Benedictus Rinze,Loutas Theodoros H.^ORCID,Zarouchas Dimitrios

Funder

Horizon 2020

Horizon 2020 Framework Programme

H2020 Marie Skłodowska-Curie Actions

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference61 articles.

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2. Investigation of nonlinear post-buckling delamination in curved laminated composite panels via cohesive zone model;Ameri;Thin-Walled Struct.,2020

3. A survey of cross-validation procedures for model selection;Arlot;Statist. Surv.,2010

4. Pearson correlation coefficient;Benesty,2009

5. Algorithm AS 89: the upper tail probabilities of Spearman’s rho;Best;J. R. Stat. Soc. Ser. C. Appl. Stat.,1975

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3. Cross-domain transfer learning for vibration-based damage classification via convolutional neural networks;Structures;2024-08

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