• DocumentCode
    1849325
  • Title

    Pattern recognition of single and composite partial discharge on generator stators

  • Author

    Wang, Wei ; Li, Wufeng ; Wufeng Li ; Liu, Lin ; Wang, Zezhong ; Ding, Lijian

  • Author_Institution
    North China Electr. Power Univ., Beijing, China
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    335
  • Lastpage
    339
  • Abstract
    Partial discharge (PD) can indicate faults in insulation of generator stator windings, so it is important to identify the PD pattern for later inspection of generator stator windings. In this paper, some generator model bars were made and some typical PD phenomena in generator stator windings were simulated. PD tests were tried to find the features of composite PD. The data obtaind from the test were analyzed using statistical parameters and the spectrum of different types of PD were plotted to reveal the difference of different patterns of PD. A BP neural network was also used to recognize the PD patterns using some new input parameters
  • Keywords
    backpropagation; electric generators; electric machine analysis computing; insulation testing; machine insulation; machine testing; neural nets; partial discharge measurement; pattern recognition; statistical analysis; stators; BP neural network; PD phenomena; PD tests; backpropagation; composite partial discharge; generator model bars; generator stators; inspection; pattern recognition; single partial discharge; statistical parameters; Bars; Fault diagnosis; Inspection; Insulation; Neural networks; Partial discharges; Pattern analysis; Pattern recognition; Stator windings; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Insulation and Dielectric Phenomena, 2001 Annual Report. Conference on
  • Conference_Location
    Kitchener, Ont.
  • Print_ISBN
    0-7803-7053-8
  • Type

    conf

  • DOI
    10.1109/CEIDP.2001.963551
  • Filename
    963551