• DocumentCode
    2699093
  • Title

    Condition monitoring for reciprocating aircraft engines using fuzzy logic

  • Author

    Mair, Andreas ; Thurner, Thomas

  • Author_Institution
    Adv. Eng., BRP-Powertrain, Gunskirchen, Austria
  • fYear
    2010
  • fDate
    6-8 Sept. 2010
  • Firstpage
    78
  • Lastpage
    81
  • Abstract
    This paper describes a method for monitoring the condition of reciprocating aircraft engines. In contrast to existing solutions our method is based on information from a single acceleration sensor attached onto the motor block. Model based signal processing using modal analysis and fuzzy logic in a hierarchical estimation scheme enables the possibility to observe engine health level. For each cylinder of the reciprocating system misfire detection and the identification of combustion failures on a per cylinder basis is possible.
  • Keywords
    aircraft; condition monitoring; engines; fuzzy logic; modal analysis; signal processing; acceleration sensor; combustion failures identification; condition monitoring; fuzzy logic; modal analysis; model based signal processing; reciprocating aircraft engines; reciprocating system misfire detection; Acceleration; Aircraft propulsion; Combustion; Engines; Estimation; Monitoring; Torque; aircraft engine; condition monitoring; fuzzy logic; misfire detection; order analysis; reciprocating engine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Measurement Systems and Applications (CIMSA), 2010 IEEE International Conference on
  • Conference_Location
    Taranto
  • Print_ISBN
    978-1-4244-7228-4
  • Type

    conf

  • DOI
    10.1109/CIMSA.2010.5611773
  • Filename
    5611773