基于EEMD和Hilbert包络分析的轴承复合故障诊断研究

Research of Bearing Compound Fault Diagnosis based on EEMD and Hilbert Envelope Analysis

针对低信噪比的齿轮传动系统的轴承复合故障,首先采用EEMD对故障信号进行分解,得到各阶IMF分量和残余量;以峭度为特征指标,计算各阶IMF分量的峭度值;对峭度最大的IMF分量进行Hilbert包络解调。最终结果表明,该方法能有效地提高信噪比,从强背景噪声的齿轮传动系统中提取了轴承故障特征频率。

In view of bearing compound fault of the low signal-to-noise ratio of the gear transmission system,firstly,the fault signal is decomposed to the order of IMFs and residue. Taking the kurtosis as characteristic index,the kurtosis value of the IMF components is calculated and the IMF component which has the maximum kurtosis is demodulated by Hilbert envelope. The final result shows that the method can effectively improve the signal-to-noise ratio,the bearing fault characteristic frequency can be extracted from strong background noise of gear transmission system.