A Method for Signal Processing of Coriolis Mass Flowmeter Based on Combining AR Model Spectrum Estimation with DFT

A method of combining auto-regressive (AR) model spectrum estimation with discrete Fourier transform (DFT), is presented to analyze and process the output signals of Coriolis mass flowmeter in this paper. This method accurately measures the frequency of signals containing noise through AR spectrum estimation, and then revises sampling frequency according to this frequency. Based on frequency spectrum correction theory, this method measures phase of the frequency point to obtain phase difference and mass flowrate. Simulation results have proved the effectiveness of the method given