• DocumentCode
    2327074
  • Title

    Past experience and future developments toward the safeguarding of power transformers

  • Author

    Ekanayake, Chandima ; Ma, Hui ; Saha, Tapan

  • Author_Institution
    Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD, Australia
  • fYear
    2010
  • fDate
    18-20 Dec. 2010
  • Firstpage
    279
  • Lastpage
    282
  • Abstract
    Transformer in a substation fails due to ageing and/or incipient faults. Many diagnostic methods have been developed based on chemical and electrical techniques. However, most of these methods require specialist knowledge for accurate interpretation of measurement data before reaching any diagnostic conclusions. This paper outlines the key issues involved in power transformer monitoring and diagnosis and presents two cases studies to demonstrate the importance of interpretation techniques for the accurate condition assessment of transformers. This paper briefly discusses the characteristics and requirements of an intelligent on-line monitoring, diagnosis and management system for safeguarding in-service transformers.
  • Keywords
    fault diagnosis; power transformers; transformer substations; intelligent online monitoring; management system; power transformer; transformer condition assessment; transformer safeguarding; transformer substation; DGA; Polarisation based diagnosis; Transformer ageing; intelligent diagnosis; machine learning algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4244-6277-3
  • Type

    conf

  • DOI
    10.1109/ICELCE.2010.5700682
  • Filename
    5700682