Characteristic Analysis and Harmonic Feature Identification of Micro-Vibration on Flywheels

To avoid the negative effects of disturbances on satellites, the characteristics of micro-vibration on flywheels are studied. Considering rotor imbalance, bearing imperfections and structural elasticity, the extended model of micro-vibration is established. In the feature extraction of micro-vibration, singular value decomposition combined with the improved Akaike Information Criterion(AIC-SVD) is applied to denoise. More robust and self-adaptable than the peak threshold denoising, AIC-SVD can effectively remove the noise components. Subsequently, the effective harmonic coefficients are extracted by the binning algorithm. The results show that the harmonic coefficients have great identification in frequency domain. Except for the fundamental frequency caused by rotor imbalance, the harmonics are also caused by the coupling of imperfections on bearing components.