关键词: 振动与波；换挡工况；经验模态分解, 小波阈值降噪；本征模态函数

Abstract:

As the noise in the acceleration signal of the acquired shift condition has a great influence on the accuracy and complexity of the excavation of the shift quality evaluation index, a signal denoising method was proposed based on Empirical Mode Decomposition (EMD) and Wavelet Threshold. Firstly, EMD was used to decompose the original noisy signal into finite Intrinsic mode function (imf) components. Secondly, the high frequency components were denoised by wavelet threshold. Then the high frequency denoising components and low frequency components were reconstructed by EMD to obtain the denoising signal. Finally, the acceleration signal of a certain shift condition was subjected to denoising test. The test results show that compared with the traditional EMD denoising and wavelet threshold denoising, the denoising method based on EMD and wavelet threshold can better preserve the original signal characteristic form and the denoising effect is more obvious. This method provides a feasible idea for the denoising of the shift acceleration signal, which lays foundations for the subsequent drviability evaluation.