Automated Classification of Ultrasonic Signal via a Convolutional Neural Network

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,...

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Bibliographic Details
Main Authors: Yakun Shi, Wanli Xu, Jun Zhang, Xiaohong Li
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Applied Sciences
Subjects:
ultrasonic signal
automated classification
features
signal processing
convolutional neural network
Online Access:https://www.mdpi.com/2076-3417/12/9/4179

Internet

https://www.mdpi.com/2076-3417/12/9/4179

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