• DocumentCode
    1473381
  • Title

    Alternative statistical techniques for aiding SFRA diagnostics in transformers

  • Author

    Badgujar, Ketan P. ; Maoyafikuddin, M. ; Kulkarni, S.V.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol. Bombay, Mumbai, India
  • Volume
    6
  • Issue
    3
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    189
  • Lastpage
    198
  • Abstract
    In order to aid the interpretative capability of the sweep frequency response analysis (SFRA) technique used for deformation diagnostics of transformers, two new statistical indicators, viz. the t-test and comparative standard deviation (CSD) have been proposed in this study. The motivations behind suggesting the t-test are two-fold, viz. (a) the ambiguity in the results provided by some statistical parameters for borderline cases, and (b) the fact that commonly used statistical parameters require the same sample data size and spot frequencies of the SFRA signatures being compared. The CSD parameter is a logical extension of standard deviation for the comparison of two data sets. The advantages of using the proposed statistical indicators have been demonstrated through six case studies.
  • Keywords
    deformation; frequency response; power transformers; statistical analysis; CSD parameter; SFRA diagnostic aiding; alternative statistical technique; borderline case statistical parameter; comparative standard deviation parameter; sample data size; spot frequency; sweep frequency response analysis technique; t-test statistical indicator; transformer deformation diagnostic;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission & Distribution, IET
  • Publisher
    iet
  • ISSN
    1751-8687
  • Type

    jour

  • DOI
    10.1049/iet-gtd.2011.0268
  • Filename
    6171896