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    飞机典型结构冲击类损伤的智能检测和评估

    Intelligent detection and evaluation of impact damage of typical aircraft structures

    • 摘要: 以飞机碳纤维增强复合材料典型结构的低能量冲击损伤为切入点,根据无损检测缺陷评估需求,构建航空复合材料冲击损伤专业检测人员标注数据集,开展高效的人工智能辅助检测算法工具研究,对超声图像进行数据增强,训练典型航空复合材料结构超声冲击损伤目标检测模型,实现冲击类损伤的智能检测和评估。

       

      Abstract: The low energy impact damage of typical carbon fiber reinforced composite structures was taken as a breakthrough point. According to the nondestructive testing requirement of defect evaluation, data set of aviation composite impact damage labelled by professionals was constructed. The research of an efficient artificial intelligent assistant inspection tool was conducted to enhance the data of ultrasonic images, train the target detection model of ultrasonic impact damages, and achieve intelligent detection and evaluation of impact damages.

       

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