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

作　　者：刘芬[1] 胡文彪[2] 徐务农[3] 

机构地区：[1]海军蚌埠士官学校机电系 [2]海军92854部队 [3]海军902厂

出　　处：《机床与液压》2013年第3期162-164,140,共4页Machine Tool & Hydraulics

摘　　要：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.

关 键 词：变频电机 转子 HILBERT变换 融合算法 故障诊断 

分 类 号：TM346[电气工程—电机]