Coatings · 2025 · 11 citations · 9 references
ComputingComputer ScienceComputer VisionMachine LearningMachine VisionDeep LearningDefect DetectionObject DetectionObject RecognitionPattern RecognitionWeldingDeep Learning DetectionDeep Learning For InspectionDeep Learning-based DetectionDeep Learning-based DiagnosisMachine Learning For Weld Defect DetectionWeld Defect Detection
This study applies deep learning-based object detection technology to defect detection in weld radiographs, proposing a technical solution for accurately identifying the types and locations of defects in weld X-ray radiographs. The research encompasses the construction of a defect dataset, the design of a multi-model object detection network, and the development of an automated film evaluation algorithm. This technology significantly enhances the efficiency and accuracy of detecting and identifying harmful defects on weld radiographs, providing critical technical support for ensuring the safe operation and efficient maintenance of pipelines of pressure equipment.
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