基于Hilbert变换和融合算法的变频电机转子故障诊断

Fault Diagnosis of Variable Frequency Motor Rotor Based on Hilbert Transform and Fusion Algorithm

变频电机在转子发生故障时,在逆变器直流侧电流中会产生相应的故障特征信号。基于信息融合的思想,通过对逆变器直流侧电流进行分段滤波的方法,获得其低频段和高频段信号,对高频段信号做Hilbert变换后,计算其Hilbert模量,再对低频段信号和高频段信号的Hilbert模量做融合相关处理。融合频谱故障特征频率分量更加突出,提高了诊断的可靠性,实验结果证实了该方法的有效性。

When the variable frequency motor rotor failures, a corresponding fault characteristic signal will produce in the invert- er DC current. Based on the ideas of information fusion, through the method of segment filtering in the current of inverter DC side, the low-frequency signal and high-frequency signal were obtained. After doing Hilbert transform for high-frequency signal, the Hilbert modulus was calculated, then the low frequency band signal and high-frequency Hilbert modulus were made the integration-related pro- cessing. Fault characteristic frequency component in the integration spectrum is more prominent, which improves the diagnostic relia- bility. The experimental results show that the method is effective.