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Updated: Jun 18, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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研究一个故障特征提取方法的电动多个单元轴箱轴承基于基于共振的散信号分解和变化模式分解方法基于子搜索算法

Jiandong Qiu1, Qiang Zhang1, Minan Tang2

  • 1School of Mechanical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.

Sensors (Basel, Switzerland)
|July 27, 2024
PubMed
概括

本研究介绍了一种优化的信号分解方法,用于准确检测电动多重单元 (EMU) 的轴承故障,尽管有噪音操作数据. 该方法增强了故障特征频率提取,以实现可靠的诊断.

关键词:
经济和金融联盟的轴箱轴承断层特征提取 断层特征提取基于共振的稀疏信号分解.变化模式分解的变化模式分解

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