基于监督对比学习的蒸汽轮机叶片裂纹缺陷的分类和识别的研究

Qinglei Zhang1, Laifeng Tang1, Jiyun Qin1

  • 1China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai 201306, China.

PubMed
概括

这项研究引入了一种使用一维卷积神经网络 (1DCNN) 和通道注意力机制 (CAM) 的新方法,以准确检测蒸汽轮机叶片裂. 这种先进的技术显著提高了关键旋转设备的故障分类准确性.

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