• DocumentCode
    2609844
  • Title

    Combination of Wavelet Packet Band Energy Analysis and AR model Bi-spectrum in Application on Circuit Breaker Condition Detection

  • Author

    Dong, Y. ; Xiao, D.M.

  • Author_Institution
    Dept. of Electr. Eng., Shanghai Jiaotong Univ., Shanghai
  • fYear
    2008
  • fDate
    9-12 Nov. 2008
  • Firstpage
    657
  • Lastpage
    660
  • Abstract
    In this paper, the field vibration signal of circuit breaker (CB) with heavy noises disturbing is firstly de-noised with WP (wavelet packet) method by which the feature band of the signal is got. With singular value decomposition (SVD), the parameters and the orders of AR model are got in the modified Yule-Walker equation of the feature band signals. The bi-spectrum analysis is then used to done with the determined parameters, which provides the bi-spectrum characteristics for on-line fault diagnosis of CB. The results analysis of the field data collected from different period proves the validity of this method which can be used as a means on on-line fault diagnosis of CB.
  • Keywords
    autoregressive processes; circuit breakers; fault diagnosis; signal denoising; singular value decomposition; wavelet transforms; AR bispectrum model; auto regressive model; circuit breaker condition detection; field data collection; modified Yule-Walker equation; on-line fault diagnosis; signal de-noising; singular value decomposition; wavelet packet band energy analysis; Circuit breakers; Fault diagnosis; Frequency; Noise reduction; Signal analysis; Signal processing; Vibration measurement; 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.2008.4774021
  • Filename
    4774021