谐波小波滤波在异步电动机转子断条故障诊断中的应用  

Application of Harmonic Wavelet Filter on Asynchronous Motor Rotor Breaking Bars Fault Detecting

作　　者：宗伟林[1] 宋中仓[1] 符晓[1] 衡玲燕[1] 

机构地区：[1]中国矿业大学信息与电气工程学院,江苏徐州221008

出　　处：《煤矿机电》2011年第3期66-69,共4页Colliery Mechanical & Electrical Technology

基　　金：国家科技支撑计划项目(2008BAB36B09)

摘　　要：笼型异步电动机转子的断条故障,其早期特征频率分量与基频分量非常接近,针对幅值相对较小、不易诊断的问题,采用谐波小波方法对定子电流信号进行滤波处理。该方法基于谐波小波良好的盒形频谱特性,将特定频率段的成分与定子电流信号的其它频率成分既不交叠,又不遗漏的分解到相互独立的频带上,成功地突出故障特征分量。仿真和实验结果证明,该方法能大大提高转子断条故障诊断的准确性。In view of the problems that the characteristic broken rotor bars in the early fault of cage asynchronous motor is very close to fundamental component but relatively smaller in its amplitude and none-easy to diagnose,using harmonic wavelet method to process filter on stator currency signal.Based on the good box-shaped frequency spectrum characteristics of harmonic wavelet,the components of specific frequency spectrum and other frequency components of stator currency signal are decomposed to independent frequency bands without any overlapping or leaking,which successfully highlight fault characteristic component.The results of simulation and experiment showed that this method greatly improved the accuracy of rotor broken bar fault diagnosis.

关 键 词：谐波小波 异步电动机 转子断条 故障诊断 

分 类 号：TM343[电气工程—电机] TM307