A fuzzy logic system is developed for helicopter rotor system fault isolation. Inputs to the fuzzy logic system are measurement deviations of blade bending and torsion response and vibration from a 'good' undamaged helicopter rotor. The rotor system measurements used are flap and lag bending tip deflections, elastic twist deflection at the tip, and three forces and three moments at the rotor hub. The fuzzy logic system uses rules developed from an aeroelastic model of the helicopter rotor with implanted faults to isolate the fault while accounting for uncertainty in the measurements. The faults modeled include moisture absorption, loss of trim mass, damaged lag damper, damaged pitch control system, misadjusted pitch link, and damaged flap. Tests with simulated data show that the fuzzy system isolates rotor system faults with an accuracy of about 90-100%. Furthermore, the fuzzy system is robust and gives excellent results, even when some measurements are not available. A rule-based expert system based on similar rules from the aeroelastic model performs much more poorly than the fuzzy system in the presence of high levels of uncertainty.


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    Titel :

    Health monitoring of a helicopter rotor in forward flight using fuzzy logic


    Weitere Titelangaben:

    Zustandsüberwachung eines Helikopterrotors im Horizontalflug mit Fuzzy-Logik


    Beteiligte:
    Ganguli, R. (Autor:in)

    Erschienen in:

    AIAA Journal ; 40 , 12 ; 2373-2381


    Erscheinungsdatum :

    2002


    Format / Umfang :

    9 Seiten, 6 Bilder, 9 Tabellen, 41 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch