Complex Signal Processing for Coriolis Mass Flow Metering in Two-Phase Flow

TL;DR

This paper introduces a Complex Bandpass Filtering method for Coriolis Mass Flowmeters that enhances signal accuracy and reduces delay in two-phase flow measurements, improving flow monitoring in complex conditions.

Contribution

The paper proposes a novel CBF-based signal processing technique that offers reduced delay, high noise suppression, and customizable frequency range for improved flow measurement accuracy.

Findings

Reduced tracking delay in flow measurement signals

Enhanced noise suppression and accuracy

Customizable frequency range for different flow conditions

Abstract

This paper presents a new signal processing method based on Complex Bandpass Filtering (CBF) applied to the Coriolis Mass Flowmeter (CMF). CBF can be utilized to suppress the negative frequency component of each sensor signal to produce the corresponding analytic form with reduced tracking delay. Further processing of the analytic form yields the amplitude, frequency, phase and phase difference of the sensor signals. In comparison with previously published methods, CBF offers short delay, high noise suppression, high accuracy and low computational cost. A reduced delay is useful in CMF signal processing especially for maintaining flowtube oscillation in two/multi-phase flow conditions. The central frequency and the frequency range of the CBF method are selectable so that they can be customized for different flowtube designs.