Towards ultrasonic guided wave fine-grained damage detection on hierarchical multi-label classification network-Reference-Cited by-同舟云学术

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Towards ultrasonic guided wave fine-grained damage detection on hierarchical multi-label classification network

Published:2024-09 Issue: Volume:218 Page:111582
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Guo Ziye^ORCID,Zhou Ruohua^ORCID,Gao Yan^ORCID,Fu Wei,Yu Qiuyu^ORCID

Publisher

Elsevier BV

Reference50 articles.

1. The state of the art of data science and engineering in structural health monitoring;Bao;Engineering,2019

2. Model averaging and probability of detection estimation under hierarchical uncertainties for lamb wave detection;Gao;Mech. Syst. Signal Process.,2022

3. Attention-based interpretable prototypical network towards small-sample damage identification using ultrasonic guided waves;Zhang;Mech. Syst. Signal Process.,2023

4. Structural health monitoring: Closing the gap between research and industrial deployment;Cawley;Struct. Health Monitor.,2018

5. Defect detection in pipelines via guided wave-based time–frequency-domain reflectometry;Bang;IEEE Trans. Instrum. Meas.,2021

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