• DocumentCode
    1283776
  • Title

    Mathematical Comparison Methods to Assess Transfer Functions of Transformers to Detect Different Types of Mechanical Faults

  • Author

    Rahimpour, Ebrahim ; Jabbari, Mehdi ; Tenbohlen, Stefan

  • Author_Institution
    Power Products Div., ABB AG, Bad Honnef, Germany
  • Volume
    25
  • Issue
    4
  • fYear
    2010
  • Firstpage
    2544
  • Lastpage
    2555
  • Abstract
    The transfer function (TF) these days is a well-known method to detect different types of mechanical damage in power transformers. The most important mechanical faults mentioned by the authors and researchers, which are most likely to be detected using the TF and occur frequently in transformers, are disc-space variation, radial deformation, and axial displacement. These faults are investigated in this paper using three different similar-size test objects. Since the TF method is a comparative method and the measured results should be compared with the reference results, some mathematical methods are studied to compare different TFs. A complete fault detection, which means determining the type, location, and level of the faults by using TF analyses is the main aim of this paper.
  • Keywords
    fault diagnosis; power transformers; transfer functions; TF method; axial displacement; disc-space variation; mathematical comparison methods; mechanical fault detection; power transformers; radial deformation; transfer function assessment; Circuit faults; Dissolved gas analysis; Electrical fault detection; Fault detection; Frequency measurement; Integrated circuit modeling; Mechanical variables measurement; Oil insulation; Power transformers; Power transmission; Testing; Transfer functions; Transportation; Windings; Comparison methods; mechanical faults; transfer function (TF); transformer;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2010.2054840
  • Filename
    5535233