• DocumentCode
    2609827
  • Title

    Application on Circuit Breaker Vibration Signal Procession Based on Wavelet Packet Band Energy Analysis and Bi-spectrum Estimation

  • Author

    Dong, Y. ; Xiao, D.M.

  • Author_Institution
    Dept. of Electr. Eng., Shanghai Jiaotong Univ., Shanghai
  • fYear
    2008
  • fDate
    9-12 Nov. 2008
  • Firstpage
    653
  • Lastpage
    656
  • Abstract
    In this paper, wavelet packet (WP) band energy analysis method is firstly used to get feature band of field circuit breaker (CB) vibration signal with heavy noises disturbing which is done with pretreatment of de-noising by WP method. The determined feature band signal is then analyzed by the non-parametric, ARMA model, and AR model bi-spectrum analysis respectively. With the field data collected from different period, the results show that the AR model bi-spectrum analysis is better among three methods mentioned above for CB state detection, which can be used to be a means to diagnose possible CB fault.
  • Keywords
    autoregressive moving average processes; circuit breakers; fault diagnosis; signal denoising; spectral analysis; vibrations; AR model bi-spectrum estimation; ARMA model; autoregressive moving average processes; circuit breaker vibration signal procession; fault diagnosis; signal denoising; wavelet packet band energy analysis; Circuit breakers; Circuit noise; Frequency; Power engineering and energy; Signal analysis; Signal processing; Vibrations; Voltage; Wavelet analysis; Wavelet packets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Voltage Engineering and Application, 2008. ICHVE 2008. International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-3823-5
  • Electronic_ISBN
    978-1-4244-2810-6
  • Type

    conf

  • DOI
    10.1109/ICHVE.2008.4774020
  • Filename
    4774020