• DocumentCode
    3642361
  • Title

    Implementation of the majority method for engine speed diagnostics of the turbojet engine MPM-20

  • Author

    L. Madarász;R. Andoga;L. Főző;T. Karol;J. Judičák

  • Author_Institution
    Technical University of Koš
  • fYear
    2011
  • fDate
    6/1/2011 12:00:00 AM
  • Firstpage
    63
  • Lastpage
    67
  • Abstract
    The paper deals with modeling and diagnostics of complex systems. In the area of modeling, the authors describe dynamic models of dependence of speed upon fuel flow supply of a small turbojet engine MPM-20. The first model is done with use of neural networks and the second is a linear model. Both models are then methodologically incorporated into the diagnostic and backup system of the optical sensor measuring the speed of the engine.
  • Keywords
    "Engines","Artificial neural networks","Aircraft propulsion","Computational modeling","Artificial intelligence","Safety","Data models"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Engineering Systems (INES), 2011 15th IEEE International Conference on
  • Print_ISBN
    978-1-4244-8954-1
  • Type

    conf

  • DOI
    10.1109/INES.2011.5954720
  • Filename
    5954720