局部放电信号处理相关方法的研究
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摘要
分析了FFT阈值滤波和基于能量比预处理的FFT阈值滤波法,分别采用这两种方法对实际监测信号进行处理,并对比分析了两种信号处理结果。结果表明,FFT阈值滤波法采用不同的滤波系数时,信号处理结果会呈现很大的差异;基于能量比预处理法能找到能量突变的点,信号处理更具针对性,但采用能量比预处理阈值滤波过程中应当注意选取合适的窗口长度,且在信号处理的时候应当尽可能地减少局部放电信号能量的损失。
Analysis was made on the fast Fourier transform(FFT) fi ltering method using threshold value and the FFT fi ltering method based on energy-ratio pretreatment. These two methods were adopted to carry out treatment for actually monitor signals, and comparison and analysis were made on two kinds of signal treatment results. The result shows that when the FFT threshold value fi ltering method adopts different fi ltering coeffi cient, the signal processing results will show great difference. The fi ltering method based on energy-ratio pretreatment can fi nd the point where energy suddenly changes, the signal treatment is more pertinent, but in the energy-ratio pretreatment value fi ltering process, appropriate window length should be adopted, and loss of partial discharge should be reduced in signal treatment.
Analysis was made on the fast Fourier transform(FFT) fi ltering method using threshold value and the FFT fi ltering method based on energy-ratio pretreatment. These two methods were adopted to carry out treatment for actually monitor signals, and comparison and analysis were made on two kinds of signal treatment results. The result shows that when the FFT threshold value fi ltering method adopts different fi ltering coeffi cient, the signal processing results will show great difference. The fi ltering method based on energy-ratio pretreatment can fi nd the point where energy suddenly changes, the signal treatment is more pertinent, but in the energy-ratio pretreatment value fi ltering process, appropriate window length should be adopted, and loss of partial discharge should be reduced in signal treatment.
引文
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[2]宋登峰.高压开关柜局部放电监测系统的超高频传感器设计[D].焦作:河南理工大学,2011.
[3]唐炬,黄江岸,张晓星,等.局部放电在线监测中混频周期性窄带干扰的抑制[J].中国电机工程学报,2010,30(13):121-127.
[4]王晓蓉,杨敏中,严璋.电力设备局部放电测量中抗干扰研究的现状和展望[J].电网技术,2000,24(6):41-45.
[5]Ma X,Zhou C,Kemp I J.Automatic wavelet analysis and its application in partial discharge detection[J].IEEE Electrical Magazine,2002,18(2):37-47.
[6]欧阳明鉴.小波变换在局部放电声信号提取中的应用[D].天津:天津大学,2005.
[7]谢颜斌.用复小波变换抑制局部放电信号中白噪声的研究[D].重庆:重庆大学,2006.
[8]彭莉.复小波变换抑制局部放电白噪声干扰[D].重庆:重庆大学,2007.
[9]李天云,程思勇,杨梅,等.FFT与小波分析应用于抑制局部放电窄带干扰[J].高电压技术,2007,33(12):71-75.
[10]肖燕.GIS局部放电在线监测和故障诊断技术的研究[D].上海:上海交通大学,2006.
[11]谢良聘,朱德恒.FFT频域分析算法抑制窄带干扰的研究[J].高电压技术,2000,26(4):6-8.
[12]卢毅,韩志琨,陈瑜.基于能量比预处理的FFT窄带滤波方法[J].东南大学学报:自然科学版,2010,40(5):948-951.
[13]左国平,王彦春,隋荣亮.利用能量比法拾取地震初至的一种改进方法[J].石油物探,2004,43(4):345-347.
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