小波包频带检索改进算法及其在电机故障诊断中的应用  

The Improved Algorithm of Wavelet Packet Frequency Band Retrieval and its Application in Motor Fault Diagnosis

作　　者：吝伶艳[1] 宋建成[1] 谢特列[1] 

机构地区：[1]太原理工大学电气与动力工程学院,太原030024

出　　处：《太原理工大学学报》2012年第3期391-395,共5页Journal of Taiyuan University of Technology

基　　金：国家"十一五"科技支撑计划重点项目(2007BAK29B05)

摘　　要：针对目前在利用小波包处理非平稳信号的过程中,存在认为小波包分解频段是按频率连续递增排列的误区,在分析小波包原理和小波包分解重构过程中频段排列特点的基础上,提出一种将小波包分解的频段按照频段由小到大顺序排列的方法,以方便所需频段的检索。在Lab-VIEW平台下进行了仿真验证,证明该方法的正确性,并利用改进频段顺序的小波包分解和重构程序对电机转子断条故障进行诊断,取得了很好的效果。For the process of analyzing non-stationary signals using wavelet packet,there are errors that the frequency band is arranged according t o the frequency of successive increment after wavelet packet decomposition.This paper gives a re-arrangement method of frequency band in small-to-large sequence on the basis of the principle and band arrangement characteristics of wavelet packet decomposition and reconstruction process.The method was proved by si mulation in the LabVIEW platform,and good results were obtained by using the program of rearranged wavelet packet decomposition and reconstruction to diagnose rotor broken bars fault.

关 键 词：小波包 LABVIEW 频段排序 故障诊断 

分 类 号：TM307[电气工程—电机]