Automatic defects detection and classification of low carbon steel WAAM products using improved remanence/magneto-optical imaging and cost-sensitive convolutional neural network

标题
Automatic defects detection and classification of low carbon steel WAAM products using improved remanence/magneto-optical imaging and cost-sensitive convolutional neural network
作者
关键词
Wire arc additive manufacturing, Magneto-optical imaging, Image enhancement, Convolutional neural network, Defect classification
出版物
MEASUREMENT
Volume -, Issue -, Pages 108633
出版商
Elsevier BV
发表日期
2020-10-22
DOI
10.1016/j.measurement.2020.108633

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