wavelet-based de-noising method to online measurement of partial discharge

被引：0
|
作者：
Li, Wenjie [1 ]
Zhao, Jiankang [1 ]
机构：
[1] State Grid Elect Power Res Inst, Wuhan, Peoples R China
来源：
2009 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), VOLS 1-7 | 2009年
关键词：
partial discharge; on-line measurement; wavelet denoising;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The extraction of partial discharge (PD) signals from excessively noisy environment is crucial to on-line PD measurement. Recent research shows that the Wavelet transform (WT) has achieved good effect in noise rejection in PD on-line detection. This paper presents some vital issues of WT implementation in extracting PD signals, including optimal mother wavelet selection, decomposition level selection, threshold rule determination, and thresholding function selection. The anti-noise effect of this de-noising method is proved by simulated and field detected data.
引用
收藏
页码：1278 / 1280
页数：3
相关论文
共 50 条
  • [1] Application of wavelet-based de-noising to online measurement of partial discharges
    Wang, P
    Lewin, PL
    Tian, Y
    Sutton, SJ
    Swingler, SG
    PROCEEDINGS OF THE 2004 IEEE INTERNATIONAL CONFERENCE ON SOLID DIELECTRICS, VOLS 1 AND 2, 2004, : 619 - 622
  • [2] Wavelet-based de-noising for PD online measurement of transformers
    Li, J
    Wang, YY
    Du, L
    Jin, ZR
    Yang, Y
    CONFERENCE RECORD OF THE 2004 IEEE INTERNATIONAL SYMPOSIUM ON ELECTRICAL INSULATION, 2004, : 54 - 57
  • [3] Optimum Wavelet Bases Selection for Wavelet Based De-Noising In Partial Discharge Measurement
    Ray, Partha
    Basuray, Arijit
    Maitra, Ashok Kumar
    2013 IEEE CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES (ICT 2013), 2013, : 1110 - 1113
  • [4] Entropy-Based Wavelet De-noising for Partial Discharge Measurement Application
    Ray, Partha
    Maitra, Ashok Kumar
    Basuray, Arijit
    2016 IEEE FIRST INTERNATIONAL CONFERENCE ON CONTROL, MEASUREMENT AND INSTRUMENTATION (CMI), 2016, : 264 - 268
  • [5] De-noising of GIS UHF Partial Discharge Monitoring based on Wavelet Method
    Zhao Xin
    Quan Jiangtao
    2011 2ND INTERNATIONAL CONFERENCE ON CHALLENGES IN ENVIRONMENTAL SCIENCE AND COMPUTER ENGINEERING (CESCE 2011), VOL 11, PT C, 2011, 11 : 1302 - 1307
  • [6] Wavelet-Based Image De-noising Method for Forest Wildfire
    Fei Yan
    Ning Han
    Zheng Wang
    PROGRESS IN MEASUREMENT AND TESTING, PTS 1 AND 2, 2010, 108-111 : 141 - 144
  • [7] Optimization of Wavelet-Based De-noising in MRI
    Bartusek, Karel
    Prinosil, Jiri
    Smekal, Zdenek
    RADIOENGINEERING, 2011, 20 (01) : 85 - 93
  • [8] Wavelet-based de-noising techniques in MRI
    Bartusek, Karel
    Prinosil, Jiri
    Smekal, Zdenek
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2011, 104 (03) : 480 - 488
  • [9] A de-noising method based on wavelet
    Song, DZ
    He, JX
    Wavelet Analysis and Active Media Technology Vols 1-3, 2005, : 1108 - 1113
  • [10] Threshold selection for wavelet de-noising of partial discharge data
    Agoris, PD
    Meijer, S
    Gulski, E
    Smit, JJ
    CONFERENCE RECORD OF THE 2004 IEEE INTERNATIONAL SYMPOSIUM ON ELECTRICAL INSULATION, 2004, : 62 - 65
12345