One-dimensional deep convolutional autoencoder active infrared thermography: Enhanced visualization of internal defects in FRP composites

Zhang, Yubin; Xu, Changhang; Liu, Pengqian; Xie, Jing; Han, Yage; Liu, Rui; Chen, Lina

doi:10.1016/j.compositesb.2024.111216

Composites Part B: Engineering

2024

DOI: 10.1016/j.compositesb.2024.111216

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One-dimensional deep convolutional autoencoder active infrared thermography: Enhanced visualization of internal defects in FRP composites

Yubin Zhang,

Changhang Xu,

Pengqian Liu

et al.

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One-dimensional deep convolutional autoencoder active infrared thermography: Enhanced visualization of internal defects in FRP composites

Cited by 4 publications

References 26 publications

OCAE-based feature extraction and cluster analysis of high-energy-consuming plant loads

OCAE-based feature extraction and cluster analysis of high-energy-consuming plant loads

Simultaneous inspection of multi-kind defects in adhesively bonded CFRP/steel structures by inductive thermography

Temporal denoising and deep feature learning for enhanced defect detection in thermography using stacked denoising convolution autoencoder

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