Automatic Detection and Classification of Natural Weld Defects Using Alternating Magneto-Optical Imaging and ResNet50

Automatic Detection and Classification of Natural Weld Defects Using Alternating Magneto-Optical Imaging and ResNet50

It is difficult to detect and identify natural defects in welded components. To solve this problem, according to the Faraday magneto-optical (MO) effect, a nondestructive testing system for MO imaging, excited by an alternating magnetic field, is established. For the acquired MO images of crack, pit...

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Bibliographic Details
Main Authors: Yanfeng Li, Pengyu Gao, Yongbiao Luo, Xianghan Luo, Chunmei Xu, Jiecheng Chen, Yanxi Zhang, Genxiang Lin, Wei Xu
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
magneto-optical imaging
natural weld defect
alternating magnetic field
convolutional neural network
ResNet50
Online Access:https://www.mdpi.com/1424-8220/24/23/7649
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