,

Xinliang Zhang1, Guanlin Liu1, Yitian Zhou2

  • 1School of Electrical Engineering and Automation, Henan International Joint Laboratory of Direct Drive and Control of Intelligent Equipment, Henan Polytechnic University, Jiaozuo 454003, China.

概括

这项研究引入了适应性全卷积网络 (AFCN),用于在噪音条件下进行稳健的轴承故障诊断. 与现有方法相比,AFCN在特征提取和噪声免疫方面表现出卓越的性能.

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