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

作　　者：YIN Xianbo SHENG Xiaowei XU Yang SHEN Yan 尹显波;盛晓伟;徐洋;申妍(College of Mechanical Engineering,Donghua University,Shanghai 201620,China)

机构地区：[1]College of Mechanical Engineering,Donghua University,Shanghai 201620,China

出　　处：《Journal of Donghua University(English Edition)》2021年第1期28-35,共8页东华大学学报（英文版）

基　　金：National Natural Science Foundation of China(No.U1831123);Fundamental Research Funds for the Central Universities,China(No.2232017A3-04)。

摘　　要：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.

关 键 词：FLYWHEEL MICRO-VIBRATION sigular value decomposition comined with the improved Akaike Information Criterion(AIC-SVD) harmonic coefficient binning algorithm 

分 类 号：TH113.1[机械工程—机械设计及理论]