• DocumentCode
    2056202
  • Title

    Detection of shorted turns in the field winding of turbogenerators using the neural network MLP

  • Author

    Angelo, Marcos F S V D ; Costa, Pyramo P., Jr.

  • Author_Institution
    Departamento de Ciencia da Computacao, Montes Claros, Brazil
  • Volume
    3
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1930
  • Abstract
    The work presents a digital prototype for simulation of shorted turns detection system in the field winding of the turbogenerators. In the development of the system, the neural network MLP, trained by backpropagation algorithm, was used to approach the problem of recognition of patterns that characterized shorted turns, in the field winding of the turbogenerators. The patterns of defects were obtained by simulation of turbogenerators. The work also presents a range of values limit of powers for turbogenerators operation, considering the short circuits conditions in field winding
  • Keywords
    backpropagation; fault location; machine windings; multilayer perceptrons; power engineering computing; short-circuit currents; synchronous generators; turbogenerators; backpropagation algorithm; fault detection; field winding; neural network MLP; short circuits conditions; shorted turns detection system simulation; synchronous machine capability; turbogenerators; Circuits; Costs; Density measurement; Electrical fault detection; Fault detection; Intelligent networks; Neural networks; Position measurement; Stator windings; Turbogenerators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 2001 IEEE International Conference on
  • Conference_Location
    Tucson, AZ
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-7087-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2001.973639
  • Filename
    973639