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基于深度图卷积网络的滚筒轴承的智能复合故障诊断

Caifeng Chen1, Yiping Yuan1, Feiyang Zhao1

  • 1School of Mechanical Engineering, Xinjiang University, Urumqi 830047, China.

Sensors (Basel, Switzerland)
|October 28, 2023
PubMed
概括

这项研究引入了一种新的深图卷积网络 (DGCN),用于诊断滚动轴承中的复合材料故障. 该方法有效地区分复杂的轴承故障,提高诊断准确度.

关键词:
深度图形卷积神经网络的神经网络智能复合故障诊断 智能复合故障诊断滚子轴承 滚子轴承 滚子轴承 滚子轴承 滚子轴承

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