小波包在电机故障诊断中的应用  

Application of Wavelet Packet in Motor Fault Diagnosis

作　　者：付华[1] 尹丽娜[1] 

机构地区：[1]辽宁工程技术大学电气工程系,阜新123000

出　　处：《电机与控制应用》2006年第12期61-64,共4页Electric machines & control application

基　　金：辽宁省自然科学基金项目(20051206)

摘　　要：针对常用的时域和频域分析在诊断电机故障时存在不能同时诊断出故障时间和类型的瓶颈问题,利用在时频两域都具有表征信号特征能力的小波,对采集来的电机振动信号进行小波包分解。利用分解的小波系数,在各个频段上进行小波信号重构,并计算信号各个频段的能量特征值,提取故障特征,诊断故障发生的时间和故障类型。As to the bottleneck question to diagnose the time and type of motor fault at the same time existing in traditional time domain and frequency domain, on basis of analyzing the motor iault characters, the vibration signal was decomposed by wavelet packet which indicated signal character both in time domain and frequency domain. Wavelet coefficient was obtained and energy eigenvalue in each frequency branch was calculated so as to diagnose the fault time and type.

关 键 词：小波包 电机 故障诊断 

分 类 号：TM307.1[电气工程—电机]