Automated Classification of Ultrasonic Signal via a Convolutional Neural Network
Ultrasonic signal classification in nondestructive testing is of great significance for the detection of defects. The current methods have mainly utilized low-level handcrafted features based on traditional signal processing approaches, such as the Fourier transform, wavelet transform and the like,...
Main Authors: | Yakun Shi, Wanli Xu, Jun Zhang, Xiaohong Li |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/9/4179 |
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