Lamb wave-based damage assessment for composite laminates using a deep learning approach

•A convolutional sparse coding-based UNet (CSCUNet) is proposed to analyze the ultrasonic Lamb wave signal, which enables high-resolution imaging of damage in composite laminates.•The CSCUNet incorporates the multi-layer convolutional sparse coding block in its encoder, enhancing both performance an...

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Vydané v:	Ultrasonics Ročník 141; s. 107333
Hlavní autori:	Zhang, Han, Wang, Fan, Lin, Jing, Hua, Jiadong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier B.V 01.07.2024
Predmet:	Composite material Damage assessment Deep learning Lamb wave Size evaluation Lamb wave Deep learning Damage assessment Composite material Size evaluation
ISSN:	0041-624X, 1874-9968, 1874-9968
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