Defect identification in adhesive structures using multi-Feature fusion convolutional neural network

Defect identification in adhesive structures using multi-Feature fusion convolutional neural network

The interface-debonding defects of adhesive bonding structures may cause a reduction in bonding strength, which in turn affects the bonding quality of adhesive bonding samples. Hence, defect recognition in adhesive bonding structures is particularly important. In this study, a terahertz (THz) wave w...

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Bibliographic Details
Main Authors: Weihua Xiong, Jiaojiao Ren, Jiyang Zhang, Dandan Zhang, Jian Gu, Junwen Xue, Qi Chen, Lijuan Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Physics
Subjects:
terahertz waveform
defect recognition
convolutional neural network
feature fusion
squeeze-and-excitation attention mechanism
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2022.1097703/full

Internet

https://www.frontiersin.org/articles/10.3389/fphy.2022.1097703/full

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