A novel method for CMF signal processing based on the revised sliding recursive DTFT algorithm

Abstract

There is a large computational load when measuring the phase difference between two signals of Coriolis mass flowmeter (CMF) because of redundancy calculations, which decreases the accuracy and real time qualities. A novel method for CMF signal processing is proposed based on the revised sliding recursive discrete-time Fourier transform (DTFT) algorithm. First, a new adaptive notch filter is introduced to filter the sensor output signals of the CMF and calculate the frequency. Then, a new method based on the revised sliding recursive DTFT algorithm is applied to calculate the real-time phase difference between two enhanced signals. With the frequency and the phase difference obtained, the time interval of the two signals is calculated, and then, the mass flowrate is derived. Simulation and experimental results show that the computational load of the complete set of algorithm is small and numerical overflow never happens along with higher accuracy of the CMF.