小波包分析在永磁同步电机转子偏心故障中的应用  

Application of Wavelet Packet Analysis in PMSM Rotor Eccentricity Fault

作　　者：杨存祥[1] 牛云龙[1] 张志艳[1] 杨慧娟[1] 青华[2] 

机构地区：[1]郑州轻工业学院电气信息工程学院,河南郑州450002 [2]郑州大学信息工程学院,河南郑州450001

出　　处：《电机与控制应用》2015年第4期42-46,共5页Electric machines & control application

基　　金：国家自然科学基金项目(51177039);河南省科技计划基金项目(112300410146)

摘　　要：在Maxwell和Simplorer平台下建立永磁同步电机模型,通过联合仿真得出正常运行和发生不同程度转子动态偏心故障时的定子电流。对正常和转子偏心故障状态下的定子电流进行小波包分析,得到其定子电流信号的小波包分解系数,其定子电流三次谐波分量变化最为明显,可以作为其特征量用以检测永磁同步电机转子偏心故障,并对不同程度的转子偏心故障的定子电流小波包分解系数做了对比研究。On the Maxwell and Simplorer platform to establish a permanent magnet synchronous motor（ PMSM） model, through the co-simulation obtained the stator current of the normal operation and the rotor eccentricity. Under different running condition of Wavelet Packet analysis is done of the stator current, obtained the conclusion of the stator current signal Wavelet Packet decomposition coefficient can be used as an effective way to detect the PMSM rotor eccentricity fault. And made a comparative study of the different degrees of rotor eccentricity fault of stator current Wavelet Packet decomposition coefficient.

关 键 词：永磁同步电机 转子偏心 定子电流 小波包分析 

分 类 号：TM307.1[电气工程—电机]