Novel Coriolis mass flowmeter signal processing algorithms based on DFT and digital correlation

Coriolis mass flowmeter (CMF) is becoming a research hotspot in flow measurement for its high accuracy and multi-parameter measurement. The detection principle of CMF is to calculate the phase difference of two sine signals which have same frequency. Discrete forurier transform (DFT) and digital correlation are applied in the signal processing of CMF, and theoretical error in this application is analyzed. According to the true signal output from the sensors, simulation analysis is made. Results show that the algorithms´ relative error is lower than 0.2%, which is more precise than typical algorithms and can be in widely application in mass flow meter.