Signal Processing of Vortex Flow with Noise Based on Wavelet Analysis

نویسنده

  • Xiaohong Zeng
چکیده

The vortex of low speed flows is difficult to measure resulted in that the output signal of vortex flowmeter appears the spectral line splitting and frequency offset in the low SNR and causes the frequency resolution to be decreased. In the paper, it first conducted the multi-scale wavelet decomposition to the vortex signal with noise, then removed the noise spectrum and carried on power spectrum analysis and frequency correction for the actual signal of stress type vortex flowmeter, and finally determined the vortex signal frequency to be as the basis for designing band-pass filter. By means of Matlab software, it took a signal with noise as an example, and reconstructed an effective sine signal by wavelet denoising algorithm. The simulation experiment shows that the presented method is effective. Copyright © 2014 IFSA Publishing, S. L.

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تاریخ انتشار 2014