A method of helicopter rotor balance is introduced that uses a probability model to maximize the likelihood of success of the selected blade adjustments. The underlying model in this method consists of two segments: a linear segment to include the sensitivity coefficients between the blade adjustments and helicopter vibration, and a stochastic segment to represent the probability densities of the vibration components. Based on this model, the blade adjustments with the maximal probability of generating acceptable vibration are selected as recommended adjustments. The effectiveness of the proposed method is evaluated in simulation using a series of neural networks trained with actual vibration data. The results indicate that the proposed method improves performance according to several criteria representing various aspects of track and balance.


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    Title :

    A probability-based approach to helicopter rotor tuning


    Additional title:

    Ein wahrscheinlichkeitsbasierter Ansatz zum Rotortuning bei Hubschraubern


    Contributors:

    Published in:

    Publication date :

    2005


    Size :

    9 Seiten, 10 Bilder, 7 Tabellen, 10 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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