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永磁电机故障诊断和容错技术概述 被引量:5

Review on Fault Diagnosis and Fault Tolerant Control for Permanent Magnet Electrical Machines
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摘要 永磁电机在国内一些关键装备领域(如轨道交通、电动汽车、风力发电)的应用日益增加,这些领域对电机的可靠性提出很高的要求。永磁电机由于存在旋转的永磁体,即使定子已断电,对电机的损坏行为仍将继续,因此电机状态监测、故障诊断及容错控制对维持系统安全可靠十分重要。文章阐述了永磁电机状态监测和故障诊断技术的发展近况,特别介绍了转子去磁、定子绕组匝间短路、转子偏心等故障的诊断方法及在非稳态下故障诊断、故障容错运行控制方法,指出系统故障预诊断和健康管理技术是未来发展方向。 Permanent magnet electrical machines (PMEM) have started to be more preferred in some safety critical application fields such as rail-transit, electric vehicle, wind power generation etc, and reliability of electrical machine is highly required in these fields. Due to the presence of rotating permanent magnets, damage to the machine will continue even if the stator is disconnected from the line, so condition monitoring, fault diagnosis techniques(CMFD) and fault tolerant control for PMEM are very important for system safe operation. It reviewed recent reports on CMFD for PMEM, specially diagnosis methods for faults such as rotor demagnetization, stator inter-turn short and eccentricity. Fault tolerant control and fault diagnosis under non-stationary condition for PMEM were also presented and prognosis and health management is pointed to be the trend in this field.
作者 柯思勤 KE Siqin(CRRC Zhuzhou Institute Co., Ltd., Zhuzhou,Hunan 412001, China)
出处 《大功率变流技术》 2017年第2期11-16,共6页 HIGH POWER CONVERTER TECHNOLOGY
关键词 永磁电机 状态监测 故障诊断 电信号分析 去磁 匝间短路 偏心 容错控制 非稳态 permanent magnet electrical machine condition monitoring fault diagnosis electric signal analysis demagnetization inter-turn short circuit eccentricity tolerant control non-stationary condition
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  • 1薛山,温旭辉.基于矢量空间解耦的五相永磁同步电机建模与仿真[J].微特电机,2006,34(6):21-23. 被引量:11
  • 2肖曦,张猛,李永东.永磁同步电机永磁体状况在线监测[J].中国电机工程学报,2007,27(24):43-47. 被引量:52
  • 3PJ达夫勒 J 彭曼.电机的状态监测[M].北京:水利电力出版社,1992.85-102. 被引量:3
  • 4John S Hsu,Jan Stein.Effects of Eccentricities on Shaft Signals Studied throughWindingless Rotors[J].IEEE Transactions on Energy Conversion,1994,9(3):564-571. 被引量:1
  • 5J R Cameron,W T Thomson,A B Dow.Vibration and Current Monitoring for Detecting AirGap Eccentricity in 3-Phase Induction Motor[J].IEEE Proceedings,1986,33(3):155-163. 被引量:1
  • 6G B Kliman, R A Koegl, J Stein.Noninvasive Detection of Broken Rotor Bars inOperating Induction Motors[J].IEEE Transactions on Energy Conversion,1998,(3):873-879. 被引量:1
  • 7Randy R Schoen, Brian K Lin,Thomas G Habetler,et al.An Unsupervised, On-line Systemfor Induction Motor Fault Detection Using Stator Current Monitoring[J].IEEE Transactions.on Industry Applications,1995,31(6):1280-1286. 被引量:1
  • 8A J M Cardoso,E S Saraiva.On-line Diagnostics of Three-phase Induction Motors, byPark's Vector[C].Proceedings of the International Conference on ElectricalMachines,1988,(3):231-234. 被引量:1
  • 9A J M Cardoso, S M A Cruz,D S B Fonseca.Inter-turn Stator Winding Fault Diagnosisin Three-phase Induction Motors, by Park's Vector Approach[J].IEEE Transactions on EnergyConversion, 14(3):595-598. 被引量:1
  • 10A J M Cardoso,E S Saraiva.Computer-aided Detection of Airgap Eccentricity inOperating Three-phase Induction Motors by Park's Vector Approach[J].IEEE Transactions. onIndustry Applications, September/October 1993,29(5):897-901. 被引量:1

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