2021
DOI: 10.22541/au.163254825.51371151/v1
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Artificial intelligence (AI) assisted fatigue fracture recognition based on morphing and Fully Convolutional Networks

Abstract: Fatigue fracture is one of the most common metallic component failure cases in manufacturing industries. The observation on fractography can provide the direct evidence for failure analysis. In this study, an image segmentation method based on Fully Convolutional Networks (FCNs) was proposed to figure out the boundary between fatigue crack propagation and fast fracture regions from optical microscope (OM) fractography images. Furthermore, novel morphing-based data augmentation method was adopted to enable few-… Show more

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