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In this paper, a new method is proposed for predicting the future evolution of a time series of spacecraft telemetry data. Because such a time series has usually a non-stationary trend, nonlinear functional relationship between inputs and outputs and other uncertainties, an appropriate prediction model for spacecraft data is needed to set up. To this end,(More)
Considering the drawbacks of traditional adjustment method without calculating possible nonlinear between rotor adjustments and fuselage vibration signals, a new rotor adjustment method based on general regression neural network (GRNN) and genetic algorithm is presented. GRNN network is employed to model the relationship of the rotor adjustments and(More)
With the development of the aircraft hydraulic power supply system towards high pressure and large load, Fluid-borne vibration in piping systems leads to serious problems. Because of pump’s periodic flow pulsation and fluid-structure interaction, mechanical fatigue can readily take place. Traditionally, passive pulsation dampers have been used to(More)
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