• DocumentCode
    3699578
  • Title

    Challenges in oil test database analysis for ageing assessment of in-service transformers

  • Author

    S.J. Tee;Q. Liu;Z.D. Wang;G. Wilson;P. Jarman;R. Hooton;D. Walker;P. Dyer

  • Author_Institution
    The University of Manchester, M13 9PL, UK
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Transformer ageing assessment is an essential step towards facilitating asset management decisions and it involves the interpretation of oil test results normally recorded in a huge database for a large population of in-service transformers. In addition to the need for analysing individual transformer data, this study aims to demonstrate and illustrate some typical challenges that asset managers could face in analysing oil test databases pertaining to large transformer populations. Through analysing multiple oil test databases of in-service transformers, potential challenges are found to be the change in measurement procedure, oil treatment practice, oil temperature and oil contamination. It is hoped that the recognition and the consideration of these challenges could serve as a foothold towards more confident and reliable ageing assessment of in-service transformers for justifying asset management decisions.
  • Keywords
    "Oil insulation","Power transformer insulation","Aging","Temperature measurement","Pollution measurement","Moisture","Sociology"
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Conference (UPEC), 2015 50th International Universities
  • Type

    conf

  • DOI
    10.1109/UPEC.2015.7339925
  • Filename
    7339925