• DocumentCode
    1644764
  • Title

    Transformer insulation diagnosis based on improved ANN analysis

  • Author

    Tu, Y.M. ; Huang, J.M. ; Gao, N. ; Zhu, Z.S. ; Yan, Z.

  • Author_Institution
    Xi´´an Jiaotong Univ., China
  • Volume
    1
  • fYear
    1997
  • Firstpage
    263
  • Abstract
    Using Artificial Neural Network (ANN) for Dissolved Gas Analysis (DGA) of transformer insulation will be more accurate than the methods used before. The accuracy and rate of ANN analysis had been improved further by using multi-subdivided ANNs and biological nerves
  • Keywords
    chemical analysis; insulation testing; neural nets; power transformer insulation; power transformer testing; ANN; biological nerves; dissolved gas analysis; transformer insulation diagnosis; Artificial neural networks; Diagnostic expert systems; Dissolved gas analysis; Fault diagnosis; Fuzzy logic; IEC; Information analysis; Oil insulation; Power transformer insulation; Power transformers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Properties and Applications of Dielectric Materials, 1997., Proceedings of the 5th International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    0-7803-2651-2
  • Type

    conf

  • DOI
    10.1109/ICPADM.1997.617578
  • Filename
    617578
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1644764