Fast and quantitative noncontact laser ultrasound tapping detection of debonding in aerospace honeycomb sandwich panel based on autoencoder-softmax

Authors

Menglong Liu (ORCID: https://orcid.org/0000-0002-9861-8815)
Weichen Xie (ORCID: https://orcid.org/0009-0005-3169-0985)
Qiang Wu (ORCID: https://orcid.org/0000-0002-5645-4883)
Yi Xiong (ORCID: https://orcid.org/0000-0002-0184-8607)
Zhongqing Su (ORCID: https://orcid.org/0000-0003-1524-0026)
Shiyuan Zhou (ORCID: https://orcid.org/0000-0002-7798-0890)

Institutions

Beijing Institute of Technology (CN)
Hong Kong Polytechnic University (HK)
China Academy of Space Technology (CN)
Harbin Institute of Technology (CN)
Southern University of Science and Technology (CN)

Publication Details

Journal: Nondestructive Testing And Evaluation
Published: 2025-04-14
DOI: https://doi.org/10.1080/10589759.2025.2491731
Citations: 2
Primary Topic: Industrial Vision Systems and Defect Detection
Type: article
Field-Weighted Citation Impact: 2.48

Funders

National Natural Science Foundation of China
Basic and Applied Basic Research Foundation of Guangdong Province

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article

Fast and quantitative noncontact laser ultrasound tapping detection of debonding in aerospace honeycomb sandwich panel based on autoencoder-softmax

Menglong Liu, Weichen Xie, Qiang Wu, Yi Xiong et al.

Apr 14, 2025

2 citations

Nondestructive Testing And Evaluation

Industrial Vision Systems and Defect Detection

2.48

article

Fast and quantitative noncontact laser ultrasound tapping detection of debonding in aerospace honeycomb sandwich panel based on autoencoder-softmax

Menglong Liu, Weichen Xie, Qiang Wu, Yi Xiong, Zhongqing Su, Shiyuan Zhou

April 14, 2025article en

2 citations

Abstract

No abstract available for this paper.

Nondestructive Testing And EvaluationVol. 41(3)

Beijing Institute of Technology (CN), Hong Kong Polytechnic University (HK), China Academy of Space Technology (CN), Harbin Institute of Technology (CN), Southern University of Science and Technology (CN)

National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province

Openalex Percentile: Top 11%

Industrial Vision Systems and Defect Detection

2.48

DOI Source OpenAlex

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