应用小波包结合FFT方法检测转子断条故障  

Apply the Wavelet Packets Combined with FFT to Detect the Broken Bars Fault of Motors

作　　者：刘蕾蕾[1] 张春喜[1] 

机构地区：[1]哈尔滨理工大学,150040

出　　处：《电机技术》2007年第2期45-47,共3页Electrical Machinery Technology

摘　　要：针对笼型电机转子断条故障信号的处理,提出一种小波包分析结合FFT的处理方法。该方法弥补单独使用FFT无时间分辨力和无法准确识别微弱故障特征信号的缺点,也弥补了单独使用小波包分析只能得到各频带信号成分而无法得到频点信号的不足。实验证明该方法是可行的,能够准确检测到笼型电机转子断条故障信号。In allusion to disposing of the broken bars fault signal of asynchronous motor, this paper presents a new method based on wavelet packets and FFT. It can overcome the weakness that solely using FFT has no resolution in time area and can not identify the weak fault signal as well as the shortcomes that using wavelet packts can not acquire the signal on frequency order. It is proved that using this method can accurately detect the broken bars fault signal of asynchronous motor.

关 键 词：转子 故障信号 分析 

分 类 号：TM343[电气工程—电机]