• DocumentCode
    2281787
  • Title

    Detection of transformer winding axial displacement using scattering parameter and ANN

  • Author

    Hejazi, Maryam A. ; Alehoseini, Hasan A. ; Gharehpetian, Gevork B.

  • Author_Institution
    Dept. of Electr. Eng., Amirkabir Uni. of Tech., Tehran, Iran
  • fYear
    2010
  • fDate
    Nov. 29 2010-Dec. 1 2010
  • Firstpage
    336
  • Lastpage
    340
  • Abstract
    The method of the on-line monitoring of transformer winding axial displacements using scattering parameters has been presented in this paper. In this method, the signature of the transformer is the scattering parameters, which are calculated using high frequency simulation software and saved for further analysis as a base case. The new simulations can be compared with this case, to detect the axial displacement of transformer winding. Based on simulations on the simplified model of the transformer winding, it is shown that the proposed method can discriminate between the displaced and intact windings. The displacement extent can be determined using Artificial Neural Network.
  • Keywords
    neural nets; power engineering computing; power transformers; artificial neural network; high frequency simulation software; online monitoring; scattering parameter; transformer winding axial displacement detection; Artificial Neural Network; On-Line Monitoring; Scattering Parameters; Transformer; Winding Axial Displacement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy (PECon), 2010 IEEE International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-8947-3
  • Type

    conf

  • DOI
    10.1109/PECON.2010.5697606
  • Filename
    5697606