Hilbert-Huang变换在齿轮故障诊断中的应用

APPLICATION OF HILBERT-HUANG TRANSFORM METHOD TO GEAR FAULT DIAGNOSIS

为齿轮故障诊断提供了一种新的途径,将Hilbert-Huang变换引入齿轮故障诊断,提出了局部Hilbert能量谱的概念,同时根据齿轮故障振动信号的特点建立了两种基于Hilbert-Huang变换的齿轮故障诊断方法:基于EMD的频率族分离法和Hilbert能量谱方法。采用EMD(Empiricalmodedecomposition)方法对齿轮振动信号能有效地将各个频率族分离;局部Hilbert能量谱可以反映齿轮振动信号的能量随时间和频率的分布情况,从而可以提取齿轮振动信号的故障信息。将这两种方法应用于齿轮故障诊断中,结果表明,基于EMD的频率族分离法和Hilbert能量谱方法都能有效地提取齿轮故障特征信息。

A new way is offered for gear fault diagnosis. A new approach, designated as Hilbert-Huang transform is introduced into gear fault diagnosis. Then the concept of local Hilbert energy spectrum is proposed and two fault diagnosis methods named frequency family separation based on EMD and Hilbert energy spectrum are established according to the characteristic of gear fault vibration signal. The frequency families are separated effectively by applying empirical mode decompos- ition to the gear fault vibration signals. The fault information of the gear vibration signals can be extracted from the local Hilbert spectrum from which the distribution of the energy of the gear fault vibration signal with the change of time and frequency. These two methods have been applied to gear fault diagnosis. The results of the application to gear fault diagnosis show that frequency family separation based on EMD and Hilbert energy spectrum can extract gear fault information effectively.