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Updated: Jul 9, 2025

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滚动轴承的故障特征提取方法基于完整的集体实证模式分解与自适应噪声和变化模式分解

Lijing Wang1, Hongjiang Li1, Tao Xi2

  • 1School of Control and Mechanical Engineering, Tianjin Chengjian University, Tianjin 300384, China.

Sensors (Basel, Switzerland)
|December 9, 2023
PubMed
概括

这项研究引入了一种新的方法,用于使用CEEMDAN和VMD技术组合检测滚动轴承的弱故障. 这种方法增强了从杂,复杂的振动信号中提取故障特征.

关键词:
在CEEMDAN,你会发现.这就是SSA SSA.这是VMD的VMD.断层特征提取 断层特征提取滚动轴承 的 滚动轴承 .

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