• DocumentCode
    2038952
  • Title

    Application of neural networks paradigms in the diagnosis and thermal ageing prediction of transformer oil

  • Author

    Mokhnache, L. ; Boubakeur, A. ; Said, N. Nait

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Batna, Algeria
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    258
  • Lastpage
    261
  • Abstract
    In this paper we present the application of some artificial neural networks algorithms to the diagnosis and thermal ageing prediction of transformer oil. The simulation had been validated by experimental results.
  • Keywords
    ageing; insulation testing; neural nets; power engineering computing; power transformer insulation; power transformer testing; transformer oil; neural networks; prediction learning; thermal ageing prediction; transformer oil deterioration; transformer oil diagnosis; Aging; Costs; Dielectrics and electrical insulation; Intelligent networks; Laboratories; Neural networks; Oil insulation; Petroleum; Power transformer insulation; Thermal engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dielectric Liquids, 2002. ICDL 2002. Proceedings of 2002 IEEE 14th International Conference on
  • Print_ISBN
    0-7803-7350-2
  • Type

    conf

  • DOI
    10.1109/ICDL.2002.1022742
  • Filename
    1022742
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2038952