Extraction of Partial Discharge Acoustic Signal by Wavelet Transform with Teager′s Energy Operator

被引:0
作者
杜伯学
欧阳明鉴
武媛
魏国忠
机构
[1] Tianjin University
[2] China
[3] Tianjin 300072
[4] School of Electrical Engineering and Automation
关键词
partial discharge extraction; acoustic signal; wavelet transform; Teager′s energy operators; denoise;
D O I
暂无
中图分类号
TN912.3 [语音信号处理];
学科分类号
0711 ;
摘要
To develop a measurement system for monitoring partial discharge (PD) without the effect of external interferences,an algorithm of PD signal extraction based on wavelet transform with Teager′s energy operators was presented.Acoustic signal generated by PD was selected to remove excessive interfering signals and electromagnetic interferences.Acoustic signals were collected and decomposed into 10 levels by wavelet transform into approximation and detail components."Daubechies 25"was proved to be the most suitable mother wavelet for the extraction of PD acoustic signals.Compared with conventional wavelet denoising method,Teager′s energy operators were adopted to the PD signal reconstruction and the signal to noise ratio was increased by 2000-2500 in the experiment,without lost in energy and pulse amplitude.
引用
收藏
页码:289 / 294
页数:6
相关论文
共 50 条
  • [41] Dyadic wavelet transform and signal extraction of GNSS coordinate time series with missing data
    Ji K.
    Shen Y.
    Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2020, 49 (05): : 537 - 546
  • [42] ST Segment Extraction from Exercise ECG Signal Based on EMD and Wavelet Transform
    You, Jia
    Jiang, Kai
    Chen, Hang
    Wen, Haoxiang
    INTERNATIONAL CONFERENCE ON ENGINEERING TECHNOLOGY AND APPLICATION (ICETA 2015), 2015, 22
  • [43] EEG Signal Denoising and Feature Extraction Using Wavelet Transform in Brain Computer Interface
    吴婷
    颜国正
    杨帮华
    孙虹
    JournalofDonghuaUniversity(EnglishEdition), 2007, (05) : 641 - 645
  • [44] Partial discharge signal denoising with spatially adaptive wavelet thresholding and support vector machines
    Mota, Hilton de Oliveira
    Dutra da Rocha, Leonardo Chaves
    de Moura Salles, Thiago Cunha
    Vasconcelos, Flavio Henrique
    ELECTRIC POWER SYSTEMS RESEARCH, 2011, 81 (02) : 644 - 659
  • [45] Investigation into the use of wavelet theory for partial discharge pulse extraction in electrically noisy environments
    Ma, X
    Zhou, C
    Kemp, IJ
    EIGHTH INTERNATIONAL CONFERENCE ON DIELECTRIC MATERIALS, MEASUREMENTS AND APPLICATIONS, 2000, (473): : 123 - 126
  • [46] Study on the fault diagnosis of partial-discharge for the eletric power transformer based on wavelet transform
    An, WD
    Sun, CX
    Ji, Y
    Quan, Z
    Heng, L
    Lei, Z
    Liu, RG
    WAVELET ANALYSIS AND ITS APPLICATIONS, AND ACTIVE MEDIA TECHNOLOGY, VOLS 1 AND 2, 2004, : 389 - 397
  • [47] Partial discharge locating in power transformer using wavelet transform of bushing and grounded neutral currents
    Sarikhani, Ali
    Darabi, Ahmad
    Banejad, Mehdi
    2007 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING, VOLS 1-2, 2007, : 597 - 602
  • [49] The signal extraction of fetal heart rate based on wavelet transform and BP neural network
    Hong, YX
    Cheng, ZB
    Dai, FH
    Third International Conference on Experimental Mechanics and Third Conference of the Asian-Committee-on-Experimental-Mechanics, Pts 1and 2, 2005, 5852 : 914 - 920
  • [50] Structural Damage Detection Based on Wavelet Transform in Strain Energy Signal Processing
    Wang, Pengbo
    2017 INTERNATIONAL CONFERENCE ON ROBOTICS AND MACHINE VISION, 2017, 10613