• DocumentCode
    3258802
  • Title

    Comparison of performance of antenna arrangements for estimating the number of partial discharge sources using multichannel blind deconvolution

  • Author

    Ishimaru, H. ; Kawada, M. ; Isaka, K.

  • Author_Institution
    Univ. of Tokushima, Tokushima
  • fYear
    2008
  • fDate
    7-11 Sept. 2008
  • Firstpage
    562
  • Lastpage
    565
  • Abstract
    We propose a method to estimate the number of partial discharge sources in multipath environment using the multichannel blind deconvolution method called the super-exponential deflation method. Blind deconvolution is a method of recovering transmitted signals from only observed signals. The deflation approach can extract a source signal which is non-Gaussian from the observed signals one by one. The deflation approach is repeated until all non-Gaussian signals are extracted, in which case the input signals become close to Gaussian noise. The eigenvalues of the spatial correlation matrix of the input signals indicate whether non-Gaussian signals are present or absent in the input signals. Thus, the proposed method estimates the number of sources by repeating the signal extraction and analyzing the eigenvalues using the criterion function to distinguish the presence or absence of the source signals in the observed signals. Appropriate antenna arrangement is an important factor in the effective separation of source signals. The aim of this study is to compare performance of antenna arrangements for estimating the number of PD sources.
  • Keywords
    Gaussian noise; antennas; correlation methods; deconvolution; eigenvalues and eigenfunctions; feature extraction; multipath channels; partial discharges; Gaussian noise; antenna arrangements; eigenvalues; multichannel blind deconvolution; multipath environment; partial discharge sources; signal extraction; spatial correlation matrix; super-exponential deflation method; Bayesian methods; Deconvolution; Dielectrics and electrical insulation; Eigenvalues and eigenfunctions; Finite difference methods; Gaussian noise; Independent component analysis; Partial discharges; Signal analysis; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Insulating Materials, 2008. (ISEIM 2008). International Symposium on
  • Conference_Location
    Mie
  • Print_ISBN
    978-4-88686-005-7
  • Electronic_ISBN
    978-4-88686-006-4
  • Type

    conf

  • DOI
    10.1109/ISEIM.2008.4664529
  • Filename
    4664529