摘要
根据频带分析需求,对遥测数据依据香农采样定理进行重采样,并利用小波包对原始数据进行降噪处理。随后,对降噪后数据进行小波时频分析,对照空中时序对数据进行了解释。然后,对该数据进行小波谱分析,并且与基于快速傅里叶变换(FFT)的谱分析进行比较,讨论了各自特点。最后,将飞行器飞行工况振动数据进行小波功率谱分析,并绘制出其功率谱包络线,为地面环境振动试验提供真实参考。
In accordance with the requirements of frequency analysis,the telemetry data were resampled based on Shannon sampling theorem,and the wavelet packet was adopted for noise reduction on the original data. Then,the wavelet time-frequency analysis was performed on the denoised data.After comparing with the analysis results based on fast Fourier transform（FFT） spectrum analysis,the respective characteristics were discussed. Finally,all vibration data of aircraft were analyzled under flight condition using wavelet power spectrum,and all wavelet power spectrum curves and the corresponding envelope curves were plotted,which can provide real references for ground environment vibration tests.
出处
《系统仿真技术》
2017年第4期320-324,358,共6页
System Simulation Technology
基金
国防基础科研项目(A0320133005)
关键词
小波时频分析
小波功率谱
小波包降噪
环境振动试验
Key words： wavelet time-frequency analysis
wavelet power spectrum
wavelet packet denoising
environment vibration test
