Convolutional neural network for ultrasonic weldment flaw classification in noisy conditions.

Nauman Munir,Hak-Joon Kim,Jinhyun Park,Sung-Jin Song,Sung-Sik Kang

Ultrasonics（2019）

引用 98|浏览21

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摘要

•Investigation of CNN for classification of noisy ultrasonic flaw signals.•Time shifting of signals for data augmentation.•Performance comparison of fully connected deep neural network and CNN.

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关键词

Convolutional neural network (CNN),Signal to noise ratio (SNR),Ultrasonic testing,Weldment flaw classification

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