Research on signal denoising method for tire-road contact stress sensor
In order to solve the noise interference problem of strain sensors in measuring tire-road contact stress signals,a signal denoising method for tire-road contact stress sensors based on complete ensemble empirical mode decomposition based on adaptive noise(CEEMDAN)and wavelet soft thresholding is proposed. Firstly,the tire-road contact stress signal is CEEMDAN decomposed into a series of IMF components arranged from high frequency to low frequency by CEEMDAN. Then,the noise dominant intrinsic mode function(IMF)component and the signal dominant IMF component are determined according to the energy value method,and wavelet soft threshold denoising is performed on the noise dominant IMF component. Finally,the denoised IMF component and the signal dominated IMF component are reconstructed to obtain the denoised tire-road contact stress signal. The proposed method is compared with CEEMDAN denoising method and traditional wavelet soft thresholding denoising method, and the results show that the SNR of the denoised signal of the proposed method is improved by 33％ and 343％, respectively,and the RMSE is reduced by 64％ and 252％,respectively,which indicates that the proposed method is more effective in denoising.
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