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A Novel Method of Multi-Information Acquisition for Electromagnetic Flow Meters
- Source :
- Sensors (Basel, Switzerland), Sensors; Volume 16; Issue 1; Pages: 25, Sensors, Vol 16, Iss 1, p 25 (2015)
- Publication Year :
- 2015
- Publisher :
- MDPI, 2015.
-
Abstract
- In this paper, a novel method is proposed for multi-information acquisition from the electromagnetic flow meter, using magnetic excitation to measure the fluid velocity and electrochemistry impedance spectroscopy (EIS) for both the fluid quality and the contamination level of the transducer. The impedance spectra of the transducer are measured with an additional electrical stimulus in series with the electrode measurement loop. The series connection mode instead of the parallel one improves the signal-to-noise ratio (SNR) of the fluid velocity measurement and offers a wide range of impedance measurements by using a sample capacitance. In addition, a multi-frequency synchronous excitation source is synthesized based on the method of dual-base power sequences for fast EIS measurement. The conductivity measurements in the range of 1.7 μS/cm–2 mS/cm showed a relatively high accuracy with a measurement error of 5%, and the electrode adhesion detection on both with coating and no coating showed the ability of the qualitative determination of the electrode adhesion, which validated the feasibility of the multi-information acquisition method for the electromagnetic flow meter (EMFM).
- Subjects :
- Materials science
Acoustics
electromagnetic flow meter
multi-information
electrical excitation
impedance spectroscopy
multi-frequency synchronous signal
photovoltaic cell
lcsh:Chemical technology
Biochemistry
Capacitance
Article
Analytical Chemistry
lcsh:TP1-1185
Electrical and Electronic Engineering
Instrumentation
Electrical impedance
Observational error
Magnetic flow meter
Atomic and Molecular Physics, and Optics
Dielectric spectroscopy
Transducer
Flow velocity
Electrode
Biomedical engineering
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 16
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Sensors (Basel, Switzerland)
- Accession number :
- edsair.doi.dedup.....480d05c7806de19d19531a0f8dc29410