基于振动传感器信号的短时间里埃转换和改进的加权剩余网络的CNC轴的旋转错误预测

Lin Song1, Jianying Tan1

  • 1School of Intelligent Manufacturing, Panzhihua University, Panzhihua 617000, China.

PubMed
概括

这项研究引入了一个自适应加权深度残余网络 (ResNet) 来预测CNC设备中的轴旋转错误. 该模型准确地将振动数据映射到旋转误差,改善加工质量预测.

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