| EMD的LabVIEW实现及其在滚动轴承故障信号分析中的应用 |
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| 引用本文： | 唐贵基,马万里,胡爱军.EMD的LabVIEW实现及其在滚动轴承故障信号分析中的应用[J].轴承,2011(5):37-40. |
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| 作者姓名： | 唐贵基 马万里 胡爱军 |
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| 作者单位： | 华北电力大学机械工程系,河北,保定,071003 |
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| 摘 要： | 通过对图形化编程软件LabVIEW的二次开发实现了经验模态分解(EMD)算法,为利用LabVIEW构建振动信号分析系统提供了有利分析工具。根据滚动轴承故障产生机理和故障信号的振动特点,将此方法运用到对轴承故障信号的分解上,对分解出的高频本征模函数(IMF)做包络解调从而提取出故障信息,并通过对实际故障轴承数据的分析验证了此方法的有效性。
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| 关 键 词： | 滚动轴承 EMD LabVIEW 包络解调 信号分析 故障诊断 |
EMD Realization by LabVIEW and Its Application in Fault Signal Analysis of Rolling Bearings |
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| TANG Gui-ji,MA Wan-li,HU Ai-jun.EMD Realization by LabVIEW and Its Application in Fault Signal Analysis of Rolling Bearings[J].Bearing,2011(5):37-40. |
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| Authors: | TANG Gui-ji MA Wan-li HU Ai-jun |
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| Affiliation: | TANG Gui-ji,MA Wan-li,HU Ai-jun (Mechanical Engineering Department,North China Electric Power University,Baoding 071003,China) |
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| Abstract: | The EMD algorithm is implemented by further development on the graphics software: LabVIEW,offering a effective analysis tool to structure the vibration signal analysis system.According to the fault forming mechanisms of rolling bearing and the vibration feature of the fault signal,this method is used to the decomposition of rolling bearing fault signal and the method of envelope demodulation is used to the high frequency IMFs got by the decomposition to extract the fault information.The analytical result of... |
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| Keywords: | EMD LabVIEW |
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