| 基于EMD分解和共振解调的滚动轴承故障诊断研究 |
| Research on Rolling Bearing Fault Diagnosis Based on EMD Decomposition and Resonance Demodulation |
| 投稿时间：2013-07-02 |
| 中文关键词:滚动轴承 故障诊断 EMD 共振解调 |
| 英文关键词:rolling bearing fault diagnosis EMD resonance demodulation |
| 基金项目:河北省教育厅自然科学重点项目（zh2011215） |
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| 中文摘要: |
| 在介绍滚动轴承的故障机理的前提下，采用振动信号分析法对滚动轴承状态监测和故障诊断进行研究。通过LabVIEW编程，应用EMD分解和共振解调相结合的方法，对振动信号进行分析，获取有用故障特征，进而确定故障类型。 |
| 英文摘要: |
| This paper introduces the fault mechanism of the rolling bearing, uses the vibration signal analysis method to research rolling bearing condition monitoring and fault diagnosis. Through the LabVIEW programming, combining the EMD decomposition and resonance demodulation, the vibration signal is analyzed, and useful fault features are obtained to confirm the fault types. |
| 左庆林,马怀祥.基于EMD分解和共振解调的滚动轴承故障诊断研究[J].石家庄铁道大学学报：自然科学版,2014,(3):59-63. |
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