• DocumentCode
    2735677
  • Title

    Fast fault diagnosis in power transformers using Optimum-Path Forest

  • Author

    Souza, A.N. ; Ramos, C.C.O. ; Gastaldello, D.S. ; Nakamura, R.Y.M. ; Papa, J.P.

  • Author_Institution
    Dept. of Electr. Eng., UNESP-Univ. Estadual Paulista, São Paulo, Brazil
  • fYear
    2012
  • fDate
    13-15 June 2012
  • Firstpage
    209
  • Lastpage
    212
  • Abstract
    In this paper we propose a fast and an accurate method for fault diagnosis in power transformers by means of Optimum-Path Forest (OPF) classifier. Since we applied Dissolved Gas Analysis (DGA), the samples have been labeled by IEEE/IEC standard, which was further analyzed by OPF and several other well known supervised pattern recognition techniques. The experiments have showed that OPF can achieve high recognition rates with low computational cost.
  • Keywords
    IEC standards; IEEE standards; chemical analysis; fault diagnosis; graph theory; pattern recognition; power transformer protection; DGA; IEEE-IEC standard; OPF classifier; dissolved gas analysis; fast fault diagnosis; optimum-path forest; pattern recognition technique; power transformer; Fault diagnosis; IEC standards; Neural networks; Oil insulation; Power transformers; Prototypes; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Engineering Systems (INES), 2012 IEEE 16th International Conference on
  • Conference_Location
    Lisbon
  • Print_ISBN
    978-1-4673-2694-0
  • Electronic_ISBN
    978-1-4673-2693-3
  • Type

    conf

  • DOI
    10.1109/INES.2012.6249832
  • Filename
    6249832
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2735677