• DocumentCode
    845496
  • Title

    Application of numerical evaluation techniques for interpreting frequency response measurements in power transformers

  • Author

    Nirgude, P.M. ; Ashokraju, D. ; Rajkumar, A.D. ; Singh, B.P.

  • Author_Institution
    UHV Res. Lab., Central Power Res. Inst., Hyderabad
  • Volume
    2
  • Issue
    5
  • fYear
    2008
  • fDate
    9/1/2008 12:00:00 AM
  • Firstpage
    275
  • Lastpage
    285
  • Abstract
    Frequency response analysis (FRA) is an emerging, powerful non-intrusive condition monitoring and diagnostic tool for verifying the mechanical integrity of power transformers. FRA results are graphical in nature and require trained experts to interpret test results. The work reported discusses numerical-criteria- based evaluation techniques. Persons not familiar with interpreting the FRA results can apply the evaluation criteria. The various criteria help in deriving proper conclusions. By evaluating correlation coefficient (CC), standard deviation and absolute sum of logarithmic error (ASLE) techniques, it is possible to discriminate between defective and non-defective windings. Experimental studies were conducted on two test transformers for axial and radial displacements, and additionally two sets of identical substation transformers. The techniques mentioned above are useful for interpreting frequency responses even in situations when a reference fingerprint was not available. However, it was concluded that if original fingerprints are available, the method gives very reliable indication for diagnosing the faulty winding. In addition, the severity of displacement/deformation can also be concluded from the amount of variation of the parameters from the suggested critical values.
  • Keywords
    fault diagnosis; frequency measurement; frequency response; power transformers; transformer windings; correlation coefficient; faulty winding diagnosis; frequency response measurement; logarithmic error technique; non-intrusive condition monitoring; numerical evaluation technique; power transformer; standard deviation;
  • fLanguage
    English
  • Journal_Title
    Science, Measurement & Technology, IET
  • Publisher
    iet
  • ISSN
    1751-8822
  • Type

    jour

  • DOI
    10.1049/iet-smt:20070072
  • Filename
    4607776