• DocumentCode
    670236
  • Title

    Redundant backup and diagnostic system of MPM-20 engine

  • Author

    Nyulaszi, Ladislav ; Madarasz, Ladislav ; Andoga, Rudolf ; Gaspar, V.

  • Author_Institution
    Dept. of Cybern. & Artificial Intell., Tech. Univ. Kosice, Kosice, Slovakia
  • fYear
    2013
  • fDate
    19-21 Nov. 2013
  • Firstpage
    43
  • Lastpage
    47
  • Abstract
    Progressive development of turbojet engine requires focus not only on improving performance, but also high reliability and safety are very important. That´s why we put more and more emphasis on concepts like diagnostics and backup, which represent the basic techniques and methods that contribute to increased safety of any complex system. The article deals with the design of diagnostics/backup system, which uses majority method and backup through computational models that take advantage of experimental identification methods and neural networks. The proposed system for jet engines was subsequently tested in laboratory conditions (LIRS LM-Laboratory of Intelligent Control Systems of Jet Engines) on a small turbojet engine MPM-20, where confirmed its functionality and reliability.
  • Keywords
    jet engines; neural nets; redundancy; MPM 20 engine; computational models; diagnostic system; identification methods; neural networks; progressive development; redundant backup system; turbojet engine; Computational intelligence; Computational modeling; Data models; Engines; Neural networks; Reliability; Sensors; backup; diagnostic system; majority method; neural network; technical diagnostics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Informatics (CINTI), 2013 IEEE 14th International Symposium on
  • Conference_Location
    Budapest
  • Print_ISBN
    978-1-4799-0194-4
  • Type

    conf

  • DOI
    10.1109/CINTI.2013.6705241
  • Filename
    6705241