Back to Search
Start Over
Complex signal processing for Coriolis mass flow metering in two-phase flow
- Source :
- Flow Measurement and Instrumentation. 64:104-115
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- 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.
- Subjects :
- Signal Processing (eess.SP)
Physics
Signal processing
Negative frequency
Estimation theory
Mass flow
Acoustics
020208 electrical & electronic engineering
0208 environmental biotechnology
Phase (waves)
02 engineering and technology
Signal
020801 environmental engineering
Computer Science Applications
Amplitude
Modeling and Simulation
FOS: Electrical engineering, electronic engineering, information engineering
0202 electrical engineering, electronic engineering, information engineering
Electrical Engineering and Systems Science - Signal Processing
Electrical and Electronic Engineering
Center frequency
Instrumentation
Subjects
Details
- ISSN :
- 09555986
- Volume :
- 64
- Database :
- OpenAIRE
- Journal :
- Flow Measurement and Instrumentation
- Accession number :
- edsair.doi.dedup.....7c9b00f5ccd6c959fea8fe98e57c332e
- Full Text :
- https://doi.org/10.1016/j.flowmeasinst.2018.10.014