A Signal Processing Method for Coriolis Mass Flowmeter Based on Time-varying Signal Model
Ni Wei Xu Kejun(Institute of Automation, Hefei University of Technology, Hefei 230009,China)
A signal whose frequency, amplitude and phase are time-varying based on the random walk model is presented to describe the sensor output signal of Coriolis mass flowmeter. An adaptive notch filter with the capability of tracking frequency variation is applied to filter the signal and calculate its frequency. An adaptive line (enhancer) based on the above notch filter extracts the signal required from noisy data. Then the sliding Goertzel (algorithm) is used to calculate the phase difference between two signals of this kind. With the frequency and phase difference obtained, the time interval of the two signals and the mass flowrate are derived. The simulation (results) show that algorithms studied are efficient.
【CateGory Index】： TH814