AttenResNet18:

Gangjin Huang1,2, Shanshan Wu3, Yingxiao Zhang3

  • 1College of Aviation Engineering, Civil Aviation Flight University of China, Guanghan 618307, China.

PubMed
概括

本研究引入了注意力增强的残余网络 (AttenResNet18),用于在滚动轴承中进行强大的跨领域故障诊断. 这种新的方法通过动态调整特征分布并减少噪声脆弱性,显著提高了准确性.

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