• DocumentCode
    2054806
  • Title

    Model of integrative denoise in on-line PD monitoring

  • Author

    Xiaorong, Wang ; Longlong, Hu ; Haiyang, Zhou ; Zhang, Yan

  • Author_Institution
    Sch. of Electr. Eng., Xi´´an Jiaotong Univ., China
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    141
  • Lastpage
    144
  • Abstract
    Based on the summary of the possible disturbances during the detection of the partial discharge (PD) pulses and the relative denoising methods, an improved model of integrative denoise in PD monitoring is proposed. In the model, the analysis of disturbances existed in a specific site is emphasized, which will help to make the denoising measures more efficient and flexible. The denoising result to the measured signal in the lab indicates that it is possible to extract PD signals effectively and hold the most information of the PD pulses, which may be helpful to analyze the PD signals deeply and build a fine fingerprint library, and then improve the classification and recognition of the PD signals
  • Keywords
    interference suppression; monitoring; partial discharge measurement; PD pulse detection; integrative denoising model; on-line monitoring; Data mining; Fingerprint recognition; Information analysis; Libraries; Monitoring; Noise reduction; Partial discharge measurement; Partial discharges; Pulse measurements; Signal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Insulating Materials, 2001. (ISEIM 2001). Proceedings of 2001 International Symposium on
  • Conference_Location
    Himeji
  • Print_ISBN
    4-88686-053-2
  • Type

    conf

  • DOI
    10.1109/ISEIM.2001.973588
  • Filename
    973588