Complex signal processing for Coriolis mass flow metering in two-phase flow

Ming Li, Manus Henry

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)
3 Downloads (Pure)


This paper presents new complex signal processing methods, Complex Bandpass Filtering (CBF), Complex Notch Filtering (CNF) and their combination (CBF-CNF), applied to the Coriolis Mass Flowmeter (CMFM). CBF, CNF and CBF-CNF can be utilized to suppress the negative frequency component of each sensor signal in order 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, the new techniques offer short delay, high noise suppression, high accuracy and low computational cost. A reduced delay is useful in CMFM signal processing especially for maintaining flowtube oscillation in two/multi-phase flow conditions. The central frequency and the frequency range for the CBF, CNF and CBF-CNF methods are selectable so that they can be customized for different flowtube designs.

Original languageEnglish
Pages (from-to)104-115
Number of pages12
JournalFlow Measurement and Instrumentation
Early online date15 Oct 2018
Publication statusPublished - 1 Dec 2018
Externally publishedYes


  • Complex Bandpass Filter
  • Complex signal processing
  • Coriolis mass flow meter
  • Parameter estimation

ASJC Scopus subject areas

  • Modelling and Simulation
  • Instrumentation
  • Computer Science Applications
  • Electrical and Electronic Engineering


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