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风力发电机齿轮故障诊断仿真与模拟试验 被引量:2

Wind Turbine Gear Fault Simulation and Experiment Research
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摘要 为了探讨无传感器故障诊断方法在风力发电机传动系统故障中的感应机理,在SIMULINK环境下,建立了一个双馈风力发电机仿真模型,对风力发电机传动系统故障在发电机定子电流中的响应过程进行理论分析。研制专用的风力发电机组模拟试验台,进行传动系统的断齿故障模拟试验与验证。利用Hilbert变换的幅值和频率解调方法,分析仿真及模拟试验结果,表明定子电流主要反映传动系统的扭矩或速度波动特征,将其用于风力发电机传动系统齿轮断齿类故障的监测与诊断是可行的。 In order toinvestigate the sensing principle of the sensorless fault diagnosis method used in the fault of the wind turbine drive system,a double-fed induction generator prototype has been built in the environment of SIMULINK.A theoretical analysis for the fault of the wind generator transmission system is used in the response process of the generator stator current.An appropriative simulation test rig for the wind turbine group is established for broken teeth fault simulation and verification of the drive train system.The frequency and amplitude modulation methods of Hilbert transformation are used to analyze the results collected from the simulation experiments.The experimental results indicate that the current in the stator mainly reacts to the torque or velocity fluctuation of the drive train system.Therefore,it is feasible for this approach to be used in wind turbine drive systems of gear teeth broken fault monitoring and diagnosis.
出处 《振动.测试与诊断》 EI CSCD 北大核心 2015年第2期263-267,397,共5页 Journal of Vibration,Measurement & Diagnosis
基金 国家自然科学基金资助项目(51275136)
关键词 风力发电机 齿轮故障 仿真 无传感器诊断 wind power generator gear fault,simulation sensor-less diagnosis
作者简介 第一作者简介:郭华,女,1962年12月生,高级实验师。主要研究方向为机电一体化。曾发表《Development of auto- correct system towards circle precise carbon-film potentiometer》(《Key Engineering Materials》2014,V01.621)等论文。
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  • 1陈雪峰,李继猛,程航,李兵,何正嘉.风力发电机状态监测和故障诊断技术的研究与进展[J].机械工程学报,2011,47(9):45-52. 被引量:201
  • 2孟庆丰,焦李成,费晓琪.感应电机驱动的机械系统无传感器监测方法研究[J].振动.测试与诊断,2004,24(4):257-261. 被引量:2
  • 3Royo J,Arcega F J. Machine current signature analy-sis as a way for fault detection in squirrel cage windgenerators [Cj// 2007 IEEE International Symposiumon Diagnostics for Electric Machines, Power Electron-ics and Drives. Cracow, Poland: IEEE Computer So-ciety, 2007:383-387.
  • 4Yang Wenxian, Tavner P J, Crabtree C J,et al.Cost-effective condition monitoring for wind turbines[J]. IEEE Transaction on Industrial Electronics,2010’ 57 (1): 263-271.
  • 5Gong Xiang, Qiao Wei, Zhou Wei. Incipient bearingfault detection via wind generator stator current andwavelet filter [C] // 36th Annual Conference of theIEEE Industrial Electronics Society. Glendale, AZ:IEEE Computer Society, 2010:2615-2620.
  • 6Amirat Y, Choqueuse V,Benbouzid M E H. Windturbines condition monitoring and fault diagnosis usinggenerator current amplitude demodulation [C] // 2010IEEE International Energy Conference and Exhibition.Manama, Bahrain: IEEE Computer Society, 2010:310-315.
  • 7Amirat Y,Choqueuse V, Benbouzid M E H,et al.Bearing fault detection in DFIG-Based wind turbines u-sing the first intrinsic mode function[C] // 19th Inter-national Conference on Electrical Machines. Rome Ita-ly: IEEE Computer Society, 2010 : 1-6.
  • 8乔明,林飞,孙湖,郑琼林.基于异步电机的风力机模拟实验平台的研究[J].电气传动,2009,39(1):40-43. 被引量:20
  • 9姚春光,潘卫明,徐殿国,马洪飞.基于鼠笼式异步电机的风机模拟实验平台研究[J].电力电子技术,2010,44(6):23-25. 被引量:13
  • 10时献江,郭华,邵俊鹏.基于无传感器检测方法的机械系统扭振试验研究[J].振动.测试与诊断,2009,29(3):352-355. 被引量:6

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