• DocumentCode
    2877944
  • Title

    Set-up an expert system for reluctance motor design

  • Author

    Miljavec, Damijan

  • Author_Institution
    Fac. of Electr. Eng., Ljubljana Univ., Slovenia
  • Volume
    2
  • fYear
    1998
  • fDate
    18-20 May 1998
  • Firstpage
    1237
  • Abstract
    The main subject of this paper is to investigate the possibility of using an artificial neural network (ANN) to build up an expert system for synchronous reluctance rotor design. Different learning and testing data were prepared by finite element analyses for ANN learning. Also, the applications of different ANN types and learning algorithms are discussed
  • Keywords
    electric machine analysis computing; expert systems; finite element analysis; learning (artificial intelligence); neural nets; reluctance motors; rotors; artificial neural network; expert system; finite element analyses; learning algorithms; reluctance motor design; synchronous reluctance rotor design; Artificial neural networks; Expert systems; Finite element methods; Magnetic flux density; Neural networks; Reluctance machines; Reluctance motors; Rotors; Stator windings; Synchronous motors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrotechnical Conference, 1998. MELECON 98., 9th Mediterranean
  • Conference_Location
    Tel-Aviv
  • Print_ISBN
    0-7803-3879-0
  • Type

    conf

  • DOI
    10.1109/MELCON.1998.699432
  • Filename
    699432