Effective combination of modeling and experimental data with deep metric learning for guided wave-based damage localization in plates-Reference-Cited by-同舟云学术

Effective combination of modeling and experimental data with deep metric learning for guided wave-based damage localization in plates

Published:2022-06 Issue: Volume:172 Page:108979
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Zhang Shengyuan,Li Chun Min,Yang Jinglei^ORCID,Ye Wenjing^ORCID

Publisher

Elsevier BV

Subject

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

Reference42 articles.

1. Detection, localization and characterization of damage in plates with an in situ array of spatially distributed ultrasonic sensors;Michaels;Smart Mater. Struct.,2008

2. Analytical prediction and experimental measurement for mode conversion and scattering of plate waves at non-symmetric circular blind holes in isotropic plates;Cegla;Wave Motion.,2008

3. Accurate finite element modelling of guided wave scattering from irregular defects;Moreau;NDT E Int.,2012

4. Isolation of ultrasonic scattering by wavefield baseline subtraction;Dawson;Mech. Syst. Signal Process.,2016

5. Guided wave signal processing and image fusion for in situ damage localization in plates;Michaels;Wave Motion.,2007

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