Extraction of partial discharge signals using wavelet transform

被引:0
|
作者
Wang, H
Tan, KX
Zhu, DH
机构
关键词
PD pulse extraction; wavelet transform; filter bank; dyadic Mallat algorithm;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The application of Wavelet Transform to extract partial discharge signals from narrow-band disturbance such as sinusoidal interference is described in this paper. Mallat's algorithm of dyadic wavelet transform was used to filter out PD signals. Two kinds of numerical simulating signals and some on-site experimental data were processed by this method. The results showed that the noise could be cut down efficiently when it was the high frequency sinusoidal noise. Thus the purpose of extracting PD pulses and reducing noises could be realized. Comparing with previously developed methods, its processing speed is faster. Some: factors that effected the extracted results were also discussed.
引用
收藏
页码:322 / 325
页数:4
相关论文
共 50 条
  • [1] Feature extraction of partial discharge signals using the wavelet packet transform and classification with a probabilistic neural network
    Evagorou, D.
    Kyprianou, A.
    Lewin, P. L.
    Stavrou, A.
    Efthymiou, V.
    Metaxas, A. C.
    Georghiou, G. E.
    [J]. IET SCIENCE MEASUREMENT & TECHNOLOGY, 2010, 4 (03) : 177 - 192
  • [2] Extraction of Partial Discharge Signals in Power Transformer Using Complex Wavelet
    Feng, Guihong
    Ji, Feng
    Zhang, Bingyi
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS ( ICAL 2009), VOLS 1-3, 2009, : 1568 - 1571
  • [3] Extraction of partial discharge signal feature with wavelet transform
    Cui, XM
    Sun, CX
    Xiong, L
    [J]. WAVELET ANALYSIS AND ITS APPLICATIONS, AND ACTIVE MEDIA TECHNOLOGY, VOLS 1 AND 2, 2004, : 412 - 417
  • [4] Identification of Wavefronts in Partial Discharge Acoustic Signals using Discrete Wavelet Transform
    Veloso, Giscard F. C.
    da Silva, L. E. Borges
    Noronha, I.
    Lambert-Torres, G.
    [J]. 2008 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, VOLS 1-5, 2008, : 1992 - 1997
  • [5] A Comparison of Cycle Spinning Versus Stationary Wavelet Transform for the Extraction of Features of Partial Discharge Signals
    Mota, Hilton de O.
    Vasconcelos, Flavio H.
    de Castro, Cristiano L.
    [J]. IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2016, 23 (02) : 1106 - 1118
  • [6] Cross-wavelet Transform based Feature Extraction for Classification of Noisy Partial Discharge Signals
    Dey, D.
    Chatterjee, B.
    Chakravorti, S.
    Munshi, S.
    [J]. PROCEEDINGS OF THE INDICON 2008 IEEEE CONFERENCE & EXHIBITION ON CONTROL, COMMUNICATIONS AND AUTOMATION, VOL II, 2008, : 500 - 504
  • [7] De-noising of Partial Discharge Signals using Second Generation Wavelet Transform
    Pradhan, Alok Kumar
    Karmakar, Subrata
    [J]. 2012 THIRD INTERNATIONAL CONFERENCE ON COMPUTING COMMUNICATION & NETWORKING TECHNOLOGIES (ICCCNT), 2012,
  • [8] research on extraction of partial discharge signals based on wavelet analysis
    Li, Wenjie
    [J]. ICECT: 2009 INTERNATIONAL CONFERENCE ON ELECTRONIC COMPUTER TECHNOLOGY, PROCEEDINGS, 2009, : 545 - 548
  • [9] A wavelet transform technique for de-noising partial discharge signals
    Vidya, H. A.
    Krishnan, V.
    Mallikarjunappa, K.
    [J]. PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND DIAGNOSIS, 2007, : 1104 - +
  • [10] A real-time processing system for denoising of partial discharge signals using the wavelet transform
    Mota, H. O.
    Volpini, N. D. O.
    Rodrigues, G. F.
    Vasconcelos, F. H.
    [J]. CONFERENCE RECORD OF THE 2008 IEEE INTERNATIONAL SYMPOSIUM ON ELECTRICAL INSULATION, VOLS 1 AND 2, 2008, : 391 - +