• DocumentCode
    819593
  • Title

    Asset-Management of Transformers Based on Condition Monitoring and Standard Diagnosis [Feature Article]

  • Author

    Zhang, Xiang ; Gockenbach, Ernst

  • Author_Institution
    Dept. of High Voltage Eng., Leibniz Univ. Hannover, Hanover
  • Volume
    24
  • Issue
    4
  • fYear
    2008
  • Firstpage
    26
  • Lastpage
    40
  • Abstract
    In this paper, a methodology is developed to use data acquisition derived from condition monitoring and standard diagnosis for rehabilitation purposes of transformers. The interpretation and understanding of the test data are obtained from international test standards to determine the current condition of transformers. In an attempt to ascertain monitoring priorities, the effective test methods are selected for transformer diagnosis. In particular, the standardization of diagnostic and analytical techniques are being improved that will enable field personnel to more easily use the test results and will reduce the need for interpretation by experts. In addition, the advanced method has the potential to reduce the time greatly and increase the accuracy of diagnostics. The important aim of the standardization is to develop the multiple diagnostic models that combine results from the different tests and give an overall assessment of reliability and maintenance for transformers.
  • Keywords
    condition monitoring; fault diagnosis; maintenance engineering; power transformer testing; condition monitoring; data acquisition; international test standards; transformer asset-management; Aging; Asset management; Circuit testing; Condition monitoring; Failure analysis; Maintenance; Pollution measurement; Power generation economics; Thermal stresses; Transformers;
  • fLanguage
    English
  • Journal_Title
    Electrical Insulation Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0883-7554
  • Type

    jour

  • DOI
    10.1109/MEI.2008.4581371
  • Filename
    4581371