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基于EMD和Teager能量的滚动轴承故障诊断

Roller Bearing Fault Diagnosis Based on EMD and Teager Energy

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【作者】 肖森于学兵

【Author】 Xiao Sen;Yu Xuebing;School of Energy and Power Engineering,Dalian University of Technology;

【机构】 大连理工大学能源与动力学院

【摘要】 对滚动轴承故障信号进行Teager能量谱分析是一种有效的方法,但是Teager能量算子使用对象为单分量信号。根据EMD(Empirical Mode Decomposition)能够自适应地把信号分解成单分量调制信号IMF(Intrinsic Mode Function)的特点,提出了一种基于EMD和Teager能量的故障诊断方法。通过对EMD分解出的与原信号互相关系数最大的分量作Teager能量谱分析进行诊断。分析了滚动轴承故障实验信号,并与信号的直接Teager能量谱作了比较,验证了该方法的有效性。

【Abstract】 Teager energy spectrum analysis is an effective method of fault diagnosis for roller bearings,the limitation is that the Teager algorithm should only be applied to single-component signals. The empirical mode decomposition(EMD) method can decompose a signal into intrinsic mode functions(IMF) which are single-component signals. A new fault diagnosis approach of roller bearing based on EMD and Teager energy is presented. It calculates the Teager energy of the high-frequency IMFs derived from EMD and then identify the fault categories through the Frouier transform of the energy signal. The experimental results validated the effectiveness of the proposed method. A comparison was also made with the result of the Teager energy spectrum obtained from the original signal.

  • 【文献出处】 农业装备与车辆工程 ,Agricultural Equipment & Vehicle Engineering , 编辑部邮箱 ,2014年01期
  • 【分类号】TH133.33;TH165.3
  • 【被引频次】3
  • 【下载频次】126
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