EMD的LabVIEW实现及其在滚动轴承故障诊断中的应用

LabVIEW Realization of EMD and Its Application for Fault Diagnosis of Rolling Bearings

针对LabVIEW工具箱中缺少EMD算法的问题,对LabVIEW进行二次开发,实现EMD(Empirical Mode Decomposition)的算法及HHT(Hilbert Huang Transform)分析方法。并且提出利用EMD的高频IMF(Intrinsic Mode Function)进行共振解调提取轴承故障特征信息的方法。故障诊断实例证明,该方法与传统共振解调方法相比,具有较大的优势。

In the absence of EMD （Empirical Mode Decomposition） algorithm in LabVIEW toolbox, a secondary development is conducted. EMD algorithm and HHT （Hilbert Huang Transform） method are realized in LabVIEW software. Meanwhile, a new method, using high -frequency IMF （Empirical Mode Decomposition）of EMD to extract fault characteristics of rolling bearing by resonance demodulation, is presented. A real example of fault diagnosis shows that this method has more preponderant than the traditional resonance demodulation method.