基于改进小波包变换和信号融合的永磁同步电机匝间短路故障检测  

Detection of Stator Inter-Turn Short-Circuit Fault in PMSM Based on Improved Wavelet Packet Transform and Signal Fusion

作　　者：陈勇[1,2] 梁洪[1,2,3] 王成栋 梁思远[1,2] 钟荣强 Chen Yong;Liang Hong;Wang Chengdong;Liang Siyuan;Zhong Rongqiang(School of Automation Engineering University of Electronic Science and Technology of China,Chengdu,611731,China;Institute of Electric Vehicle Driving System and Safety Technology University of Electronic Science and Technology of China,Chengdu,611731,China;Unit 69031 of the People's Liberation Army of China,Urumqi,830000,China)

机构地区：[1]电子科技大学自动化工程学院,成都611731 [2]电子科技大学电动汽车动力系统与安全技术研究所,成都611731 [3]中国人民解放军69031部队,乌鲁木齐830000

出　　处：《电工技术学报》2020年第S01期228-230,231-234,共7页Transactions of China Electrotechnical Society

摘　　要：以永磁同步电机定子绕组匝间短路故障为研究对象,采用定子电流信号和振动信号的频谱特征融合作为匝间短路故障判断依据,结合改进小波包变换算法与快速傅里叶变换,通过LabView软件对采集信号进行处理分析,实现了对该类故障的检测。该改进小波包分析快速算法可以消除频谱混淆干扰,进而得到准确的故障特征。此外,以永磁低速同步电机为对象进行实验,结果验证了该方法的有效性。In this paper,the stator inter-turn short-circuit(ITSC)fault in permanent magnet synchronous motor(PMSM)is regarded as the research object.The frequency spectrum feature of fusion vibration signal and stator current signal is used as the basis for the detection of inter-turn short-circuit fault.The acquisition signal is processed and analyzed by combining advanced wavelet packet transform and FFT in LabView,and the detection of this fault is realized.Improved wavelet packet transform can eliminate spectrum aliasing and get accurate fault characteristics.In addition,the experiments on permanent magnet low speed synchronous motor are carried out,the results of which show that the method is effective.

关 键 词：故障检测 匝间短路 改进小波包 信号融合 永磁同步电机 

分 类 号：TM341[电气工程—电机]