Feature selection based on snake optimizer for defect or damage classification in composite rolls via ultrasonic Rayleigh waves

Sun, Maoxun; Zhang, Yue; Li, Haolin; Xiao, Biao; Liu, Hongye; Wang, Xiao; Hu, Chaojie

doi:10.1016/j.apacoust.2024.110125

Applied Acoustics

2024

DOI: 10.1016/j.apacoust.2024.110125

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Feature selection based on snake optimizer for defect or damage classification in composite rolls via ultrasonic Rayleigh waves

Maoxun Sun,

Yue Zhang,

Haolin Li

et al.

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Classification, Localization and Quantization of Eddy Current Detection Defects in CFRP Based on EDC-YOLO

Wen,

Tao,

et al. 2024

Sensors

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The accurate detection and quantification of defects is vital for the effectiveness of the eddy current nondestructive testing (ECNDT) of carbon fiber-reinforced plastic (CFRP) materials. This study investigates the identification and measurement of three common CFRP defects—cracks, delamination, and low-velocity impact damage—by employing the You Only Look Once (YOLO) model and an improved Eddy Current YOLO (EDC-YOLO) model. YOLO’s limitations in detecting multi-scale features are addressed through the integration of Transformer-based self-attention mechanisms and deformable convolutional sub-modules, with additional global feature extraction via CBAM. By leveraging the Wise-IoU loss function, the model performance is further enhanced, leading to a 4.4% increase in the mAP50 for defect detection. EDC-YOLO proves to be effective for defect identification and quantification in industrial inspections, providing detailed insights, such as the correlation between the impact damage size and energy levels.

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Classification, Localization and Quantization of Eddy Current Detection Defects in CFRP Based on EDC-YOLO

Wen,

Tao,

et al. 2024

Sensors

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show abstract

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Feature selection based on snake optimizer for defect or damage classification in composite rolls via ultrasonic Rayleigh waves

Cited by 1 publication

References 30 publications

Classification, Localization and Quantization of Eddy Current Detection Defects in CFRP Based on EDC-YOLO

Classification, Localization and Quantization of Eddy Current Detection Defects in CFRP Based on EDC-YOLO

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