Automatic terahertz recognition of hidden defects in layered polymer composites based on a deep residual network with transfer learning

Wenquan Liu,Qiang Wang,Hanlong Zhang,Zhenyuan Li,Qiuhan Liu,Rongbin She,Rui Zhang

2021 46TH INTERNATIONAL CONFERENCE ON INFRARED, MILLIMETER AND TERAHERTZ WAVES (IRMMW-THZ)（2021）

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摘要

We demonstrate a deep residual network with transfer learning strategy for automatic terahertz (THz) recognition of the hidden defects in fiber reinforced polymer (FRP) composites with small-scale training data. The recognition performance with high accuracy, precision, sensitivity and specificity indicate the effectiveness of the proposed method for automatically identifying different defects in THz nondestructive applications.

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关键词

automatic terahertz recognition,hidden defects,layered polymer composites,deep residual network,transfer learning strategy,fiber reinforced polymer composites,small-scale training data,FRP,THz nondestructive applications

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