全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
-  2017 

基于可闻声信号的配电变压器内部放电故障识别方法研究 Research on identification method of distribution transformer internal discharge fault based on audible sound signal

Keywords: 变压器,放电故障,声信号,希尔伯特-黄变换(HHT),支持向量数据描述(SVDD),故障识别

Full-Text   Cite this paper   Add to My Lib

Abstract:

提出了基于可闻声信号的配电变压器放电故障识别方法.首先,采用希尔伯特-黄变换(HHT)对放电声信号进行处理,提取频带能量作为特征量.然后,利用单分类方法支持向量数据描述(SVDD)对特征量进行识别.通过现场实测配电变压器本体声信号和实验室模拟配电变压器内部放电故障对该方法进行了验证,结果表明该方法能够较好地识别配电变压器内部放电故障

References

[1]  Lu Y,Tan X,Hu X.PD detection and localisation by acoustic measurements in an oil-filled transformer[J].IEE Proceedings—Science,Measurement and Technology,2000,147(2):81-85.
[2]  张颖,苏宪章,刘占生.滚动轴承故障非接触多传感器声信号融合方法[J].振动与冲击,2012,31(16):188-192.Zhang Ying,Su Xianzhang,Liu Zhansheng.Fusion method for processing non-contact multi-sensor acoustic signals in rolling bearing fault diagnosis[J].Journal of Vibrations and Shock,2012,31(16):188-192.
[3]  淡文刚,陈祥训,郑健超.油中局部放电脉冲波形的测量与特性分析[J].电网技术,2000,24(6):37-40.Dan Wengang,Chen Xiangxun,Zheng Jianchao.Measurment and analysis of pulse current of partial discharge in oil[J].Power System Technology,2000,24(6):37-40.
[4]  符劲松.基于可听声的变压器内部火花放电故障诊断研究[D].武汉:华中科技大学,2013.Fu Jinsong.Diagnosis research on internal spark discharge fault of transformer based on audio signal[D].Wuhan:Huazhong University of Science&Technology,2013.
[5]  Wu Z H,Huang N E.Ensemble empirical mode decomposition:a noise-assisted data analysis method[J].Advances in Adaptive Data Analysis,2009,1(1):1-41.
[6]  Tax D M J,Duin R P W.Support vector domain description[J].Pattern Recognition Letters,1999,20(11):1191-1199.
[7]  杨宇,于德介,程军圣.基于Hilbert边际谱的滚动轴承故障诊断方法[J].振动与冲击,2005,24(1):72-74,137.Yang Yu,Yu Dejie,Cheng Junsheng.Roller bearing fault diagnosis based on Hilbert marginal spectrum[J].Journal of Vibrations and Shock,2005,24(1):72-74,137.
[8]  操敦奎,许维宗,阮国方.变压器运行维护与故障分析处理[M].北京:中国电力出版社,2008.Cao Dunkui,Xu Weizong,Ruan Guofang.The Operational Maintenance and Fault Analysis of Power Transformer[M].Beijing:China Electric Power Press,2008.
[9]  Sacha M M,Stefan T,Kurt F.Detection and location of partial discharges in power transformers using acoustic and electromagnetic signals[J].IEEE Transactions on Dielectrics and Electrical Insulation,2008,15(6):1576-1583.
[10]  张尚斌,张海滨,欧阳可赛,何清波,孔凡让.基于时频幅值匹配的列车轴承故障声学信号的多普勒校正方法[J].振动与冲击,2016,35(14):101-106.Zhang Shangbin,Zhang Haibin,Ouyang Kesai,He Qingbo,Kong Fanrang.Doppler distortion removal based on time-frequency amplitude matching method for fault diagnosis of train bearings acoustic signals[J].Journal of Vibrations and Shock,2016,35(14):101-106.
[11]  Dukic G,Cukaric A.New algorithm for detecting power transformer faults based on M-robust estimation of sound signals[J].IET Generation,Transmission&Distribution,2014,8(6):1117-1126.
[12]  张贤达,何铮.非平稳信号分析与处理[M].北京:国防工业出版社,1991.Zhang Xianda,He Zheng.Nonstationary Signal Analysis and Processing[M].Beijing:National Defence Industry Press,1991.
[13]  Huang N E,Shen Z,Long S R,et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proceedings of the Royal Society A Mathematical Physical&Engineering Sciences,1998,454(1971):903-995.
[14]  周力行,何蕾,李卫国.变压器局部放电超声信号特性及放电源定位[J].高电压技术,2003,29(5):11-13,16.Zhou Lixing,He Lei,Li Weiguo.Research on characteristics of ultrasonic signal of partial discharge and partial discharge sources location in transformer[J].High Voltage Engineering,2003,29(5):11-13,16.
[15]  Anami B S,Pagi V B.Acoustic signal-based approach for fault detection in motorcycles using chaincode of the pseudospectrum and dynamic time warping classifier[J].IET Intelligent Transport Systems,2014,8(1):21-27
[16]  程养春,李成榕,岳华山,等.变压器油纸绝缘针板放电缺陷发展过程[J].高电压技术,2011,37(6):1362-1370.Chen Yangchun,Li Chengrong,Yue Huashan,et al.Developing processes of partial discharge defects of needle-plate structure on oil-paper insulation of transformer[J].High Voltage Engineering,2011,37(6):1362-1370.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133