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

doi:10.19595/j.cnki.1000-6753.tces.L80354

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Abstract 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.

Key words： Fault detection inter-turn short-circuit (ITSC) wavelet packet signal fusion permanent magnet synchronous motor (PMSM)

Received: 30 June 2018 Published: 05 March 2020

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TM341

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	Articles by authors
	Chen Yong
	Liang Hong
	Wang Chengdong
	Liang Siyuan
	Zhong Rongqiang

Cite this article:

Chen Yong,Liang Hong,Wang Chengdong等. Detection of Stator Inter-Turn Short-Circuit Fault in PMSM Based on Improved Wavelet Packet Transform and Signal Fusion[J]. Transactions of China Electrotechnical Society, 2020, 35(zk1): 228-234.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.L80354 OR https://dgjsxb.ces-transaction.com/EN/Y2020/V35/Izk1/228

[1] 马伟明, 王东, 程思为, 等. 高性能电机系统的共性基础科学问题与技术发展前沿[J]. 中国电机工程学报, 2016, 36(8): 2025-2035.
Ma Weiming, Wang Dong, Cheng Siwei, et al.Common basic scientific problems and development of leading-edge technology of high performance motor system[J]. Proceedings of the CSEE, 2016, 36(8): 2025-2035.
[2] 王海兵, 赵荣祥, 汤胜清, 等. 永磁同步电机位置检测偏差对驱动系统性能的影响研究[J]. 电工技术学报, 2018, 33(4): 910-918.
Wang Haibing, Zhao Rongxiang, Tang Shengqing, et al.Research on the influence of the position detection error to the PMSM drive system[J]. Transactions of China Electrotechnical Society, 2018, 33(4): 910-918.
[3] 荆锴, 孙鹤旭, 董砚, 等. 以电流矢量为目标的永磁同步电机定子电流动态预测[J]. 电工技术学报, 2016, 31(2): 47-55.
Jin Kai, Sun Hexu, Dong Yan, et al.Stator current dynamic prediction of permanent magnet synchronous motor targeting the current vector[J]. Transactions of China Electrotechnical Society, 2016, 31(2): 47-55.
[4] Wang Zhifu, Yang Jingzhe, Ye Huiping, et al.A review of permanent magnet synchronous motor fault diagnosis[C]//IEEE Transportation Electrification Asia- Pacific, Beijing, China, 2014: 1-5.
[5] Stavrou A, Sedding H G, Penman J.Current moni- toring for detecting inter-turn short circuits in induction motors[J]. IEEE Transactions on Energy Conversion, 2001, 16(1): 32-37.
[6] Henao H, Demian C, Capolino G A.A frequency- domain detection of stator winding faults in induction machines using an external flux sensor[J]. IEEE Transactions on Industry Applications, 2003, 39(5): 1272-1279.
[7] Sdiri F, Bensalem Y, Trabelsi H, et al.Inter-turn short-circuit fault detection in the vectorial control PMSM drive[C]//International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, Monastir, Tunisia, 2017: 362-367.
[8] Zheng Anping, Yang Juan, Wang Ling.Fault detection of stator winding interturn short circuit in PMSM based on wavelet packet analysis[C]// International Conference on Measuring Technology & Mechatronics Automation, IEEE Computer Society, Hong Kong, China, 2013: 566-569.
[9] Çira F, Arkan M, Gümüş B, et al.Analysis of stator inter-turn short-circuit fault signatures for inverter- fed permanent magnet synchronous motors[C]// IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society, Florence, Italy, 2016: 1453-1457.
[10] Moosavi S S, Esmaili Q, Djerdir A, et al.Inter-turn fault detection in stator winding of PMSM using wavelet transform[C]//IEEE Vehicle Power and Propulsion Conference, Belfort, France, 2017: 1-5.
[11] Obeid N H, Boileau T, Nahid-Mobarakeh B.Modeling and diagnostic of incipient inter-turn faults for a three phase permanent magnet synchronous motor using wavelet transform[C]//IEEE Industry Applications Society Meeting, Addison, TX, USA, 2015: 1-8.
[12] Liang Yongchun.Diagnosis of inter-turn short-circuit stator winding fault in PMSM based on stator current and noise[C]//IEEE International Conference on Industrial Technology, Busan, South Korea, 2014: 138-142.
[13] Li Yongcan, Liang Yongchun.The correlation analysis of PM inter-turn fault based on stator current and vibration signal[C]//IEEE International Conference on Mechatronics and Automation, Beijing, China, 2015: 1733-1737.
[14] Urresty J, Riba J, Romeral L, et al.Stator short circuits detection in PMSM by means of Hilbert- Huang transform and energy calculation[C]//IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, Cargese, France, 2009: 1-7.
[15] Joksimović G M, Penman J.The detection of inter- turn short circuits in the stator windings of operating motors[J]. IEEE Transactions on Industrial Electro- nics, 2000, 47(5): 1078-1084.
[16] Cruz S M A, Cardoso A J M. Diagnosis of stator inter-turn short circuits in DTC induction motor drives[J]. IEEE Transactions on Industry Appli- cations, 2004, 40(5): 1349-1360.
[17] Nandi S.A detailed model of induction machines with saturation extendable for fault analysis[J]. IEEE Transactions on Industry Applications, 2004, 40(5): 1302-1309.
[18] 袁莉芬, 孙业胜, 何怡刚, 等. 基于小波包优选的模拟电路故障特征提取方法[J]. 电工技术学报, 2018, 33(1): 158-165.
Yuan Lifen, Sun Yesheng, He Yigang, et al.Fault feature extraction method for analog circuit based on preferred wavelet packet[J]. Transactions of China Electrotechnical Society, 2018, 33(1): 158-165.
[19] 于生宝, 何建龙, 王睿家, 等. 基于小波包分析和概率神经网络的电磁法三电平变换器故障诊断方法[J]. 电工技术学报, 2016, 31(17): 102-112.
Yu Shengbao, He Jianlong, Wang Ruijia, et al.Fault diagnosis of electromagnetic three-level inverter based on wavelet packet analysis and probabilistic neural networks[J]. Transactions of China Electro- technical Society, 2016, 31(17): 102-112.
[20] 叶瑞丽, 郭志忠, 刘瑞叶, 等. 基于小波包分解和改进Elman神经网络的风电场风速和风电功率预测[J]. 电工技术学报, 2017, 32(21): 107-115.
Ye Ruili, Guo Zhizhong, Liu Ruiye, et al.Wind speed and wind power forecasting method based on wavelet packet decomposition and improved Elman neural network[J]. Transactions of China Electrotechnical Society, 2017, 32(21): 107-115.
[21] 张淑清, 马跃, 李盼, 等. 基于改进的广义谐波小波包分解和混沌振子的小电流接地系统故障选线[J]. 电工技术学报, 2015, 30(3): 13-20, 43.
Zhang Shuqing, Ma Yue, Li Pan, et al.Application of improved generalized harmonic wavelet packet decomposition and chaos oscillator to fault line detection in small current grounding system[J]. Transactions of China Electrotechnical Society, 2015, 30(3): 13-20, 43.
[22] 申戬林, 王灵梅, 郭东杰, 等. 基于改进小波包与包络谱的风电机组传动系统的故障诊断方法研究[J]. 太阳能学报, 2014, 35(9): 1771-1777.
Shen Jianlin, Wang Lingmei, Guo Dongjie, et al.Research on fault diagnosis method based on improved wavelet packet envelop spectrum of wind turbine transmission system[J]. Acta Energiae Solaris Sinica, 2014, 35(9): 1771-1777.