A helicopter rotor system health monitoring methodology is formulated for an articulated rotor. A rotor aeroelastic analysis based on finite element modeling in space and time, and capable of modeling dissimilar blades, is used to simulate the damaged and undamaged rotor. The relationship between rotor hub loads and fuselage vibration is approximated by a neural network trained on simulated hub loads and flight test fuselage vibration data. The rotor faults are modeled as changes in inertial, stiffness, damping and aerodynamic properties for the damaged blade. Changes in measurable rotor system behavior such as blade tip response and fuselage vibration at the pilot seat are investigated for selected faults and summarized in diagnostic tables.


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    Title :

    Helicopter rotor system health monitoring using numerical simulation and neural networks


    Additional title:

    Hubschrauberrotor - Gesundheitsüberwachung mit Hilfe numerischer Simulation und neuronaler Netze


    Contributors:
    Ganguli, R. (author) / Chopra, I. (author) / Haas, D.J. (author)

    Published in:

    Publication date :

    1997


    Size :

    12 Seiten, 14 Bilder, 6 Tabellen, 16 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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