MED方法及在滚动轴承故障诊断中的应用

MED Method and Application in Fault Diagnosis of Rolling Element Bearings

介绍了最小熵解卷积(Minimum Entropy Deconvolution,MED)的原理和实现步骤,说明了参数选择方法。为有效抑制噪声,增强故障特征信息,提出MED结合包络自相关的方法。通过实验台信号验证了所述方法的有效性及优点。

The principle and implementation steps of Minimum Entropy Deconvolution （ MED） are introduced. The parameter se？lection method was explained. In order to effectively reduce the noise and enhance the fault feature information, the method of MED combined with envelope autocorrelation was proposed. The effectiveness and advantages of the proposed method are proved through the experimental signals.