工艺与制造英文2022被引 11
基于多尺度检测器的自动铺纤工艺缺陷检测研究
Research on Defect Detection in Automated Fiber Placement Processes Based on a Multi-Scale Detector
Yongde Zhang, Wei Wang, Qi Liu, Zhonghua Guo, Yangchun Ji · Craft Group (China)
摘要整理
自动铺纤（AFP）工艺中的各类表面缺陷严重影响构件成形质量。传统缺陷检测主要依靠人工肉眼观察，生产效率低下。因此，自动化缺陷识别方案具有重要的经济价值。本文提出了一种多尺度AFP缺陷检测算法——融合通道注意力机制的空间金字塔特征融合YOLOv5（SPFFY-CA）。该算法采用空间金字塔扩张卷积（SPDCs）融合不同感受野提取的特征图，实现多尺度缺陷信息的集成。通过级联函数获得的特征图经通道注意力（CA）机制处理，增强网络特征表示能力，生成更有效的特征。此外，采用稀疏训练与剪枝（STP）方法实现网络轻量化，确保缺陷检测的效率与精度。在PASCAL VOC数据集和自建AFP缺陷数据集上的实验结果表明，该方案性能优越，具有较强的实用性和推广价值。
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