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基于LabVIEW的发电机定子绕组局部放电检测方法

LabVIEW-based Detection for Partial Discharge of Generator Stator Windings
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摘要 对发电机定子绕组3种典型局部放电信号进行了研究,得到放电脉冲信号波形及频谱。设计了基于LabVIEW的发电机局部放电检测系统,针对局部放电信号特点,设计了数字滤波和脉冲时延鉴别等抗干扰技术,这是实现发电机定子绕组局部放电检测的关键环节。应用该方法可准确测量所述3种典型放电信号。 Three kinds of typical partial discharge signals of generator stator windings are studied, and the discharge pulse waveform and frequency spectrum are obtained. A LabVIEW-based detection system for partial discharge of generator stator windings is designed. Aiming at the characteristics of partial discharge signals, the anti-disturbing techniques of digital filter and pulse-delay discrimination are designed. These techniques are the key to the realization of the detection system for generator stator windings, and to the accurate detection of the three kinds of typical partial discharge signals.
出处 《水电自动化与大坝监测》 2008年第1期62-64,共3页 HYDROPOWER AUTOMATION AND DAM MONITORING
关键词 发电机 定子绕组 局部放电 LABVIEW generator stator windings partial discharge LabVIEW
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  • 1孙才新,许高峰,唐炬,侍海军,朱伟.检测GIS局部放电的内置传感器的模型及性能研究[J].中国电机工程学报,2004,24(8):89-94. 被引量:80
  • 2孙才新,许高峰,唐炬,陆宠惠,侍海军.以盒维数和信息维数为识别特征量的GIS局部放电模式识别方法[J].中国电机工程学报,2005,25(3):100-104. 被引量:62
  • 3杨家兴,王晓春.一种强抗干扰能力的时延估计新算法[J].信息工程学院学报,1994,13(1):17-24. 被引量:5
  • 4[1]Kopf U, Feser K. Rejection of narrow-band nosie and repetitive pulses in on-site PD measurements. IEEE Trans DEI, 1995, 2(6):1180
  • 5[2]Wlodek R, Florkowski Z, Zydron P. Improvement of signal to noise ratio in partial discharge measurements. Proceedings of the 4th ICPADM, 1994, 6210:590
  • 6[3]Nagesh V, Gururaj B I. Automatic detection and elimination of periodic pulse shaped interference in partial discharge measurements. IEE Proc Sci Meas Technol, 1994, 141(5):335
  • 7[4]Wenzel D, Borsi H, Gockenbach E. Pulse shaped noise reduction and partial discharge localization on transformers using the Karhunen-Loeve-Transform. 9th ISH, 1995, 5627-1:1
  • 8[5]Borsi H, Gockenbach E, Wenzel D. Separation of partial discharges from pulse-shaped noise signals with the help of neural networks. IEE Proc Sci Meas Technol, 1995, 142(1):69
  • 9[6]Daubechies I. The wavelet transform, time-frequency locaization and signal analysis. IEEE Trans IT, 1990, 6(5):961
  • 10[7]Mallat S. A theory of multiresolution: The wavelet transform. IEEE Trans PAMI, 1989, 11(7):674

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