• DocumentCode
    468458
  • Title

    A qualitative assessment of the insulation systems of medium voltage induction motors

  • Author

    John, P.M. ; de Kock, J.A. ; Wolmerans, A.D.W.

  • Author_Institution
    North-West Univ., Potchefstroom
  • fYear
    2007
  • fDate
    8-11 Oct. 2007
  • Firstpage
    979
  • Lastpage
    982
  • Abstract
    The research was an attempt to understand the condition of the insulation system and to classify the data according to its condition. Data mining processes was used to create a model to gain insight into the data and the condition of the insulation system. An analysis was done using self-organizing maps. The model thus created was compared to the expert´s assessment. The patterns in the different features of the model due to ageing were observed and classified. The model correlated well with the expert´s opinion. New data was qualitatively assessed and classified according to the deterioration of the insulation system using the model.
  • Keywords
    data mining; electric machine analysis computing; induction motors; machine insulation; self-organising feature maps; data mining processes; insulation systems; medium voltage induction motors; self-organizing maps; Africa; Data analysis; Data engineering; Data mining; Dielectrics and electrical insulation; Failure analysis; Induction motors; Insulation testing; Medium voltage; System testing; Motor Insulation tests; assessment of insulation systems; tan delta tests;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2007. ICEMS. International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-89-86510-07-2
  • Electronic_ISBN
    978-89-86510-07-2
  • Type

    conf

  • Filename
    4411949