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.
A probability-based approach to helicopter rotor tuning
Ein wahrscheinlichkeitsbasierter Ansatz zum Rotortuning bei Hubschraubern
Journal of the American Helicopter Society ; 50 , 1 ; 56-64
2005
9 Seiten, 10 Bilder, 7 Tabellen, 10 Quellen
Aufsatz (Zeitschrift)
Englisch
A Probability-Based Approach to Helicopter Rotor Tuning
Online Contents | 2005
|ROTOR HEAD OF HELICOPTER, MULTI-ROTOR TYPE HELICOPTER AND HELICOPTER
Europäisches Patentamt | 2017
|Helicopter rotor head, multirotor helicopter, and helicopter
Europäisches Patentamt | 2020
|Helicopter Rotor Head, Multirotor Helicopter, and Helicopter
Europäisches Patentamt | 2019
|