A Denoising Method for Telemetry Vibration Signal Based on the Seletion of Optimal Wavelet Basis Function
In response to the problem of the rich frequency content of telemetry vibration signals in aircraft testing and the dif-ficulty in selecting the optimal wavelet basis function for wavelet denoising,this article proposes an optimal wavelet basis selection method combined with EMD.The article uses EMD to decompose vibration signals into a series of IMF components,uses cross-cor-relation coefficients and autocorrelation functions to determine the noisy components,and selects the optimal wavelet basis based on the Shannon entropy of the discrete wavelet transform coefficients of the noisy components.The optimal wavelet basis is used to de-noise the noisy IMF components separately,and the denoised IMF components are accumulated with the other IMF components to obtain the denoised signal.The simulation and experimental data processing results demonstrate that the denoising method based on optimal wavelet basis selection has effectively improved the signal-to-noise ratio compared to wavelet denoising and EMD denois-ing,and has practical application value in the preprocessing of telemetry vibration signals.
万方数据
维普
