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A Novel Method of Multi-Information Acquisition for Electromagnetic Flow Meters.
Cui, Wenhua; Li, Bin; Chen, Jie; Li, Xinwei.
Afiliación
  • Cui W; School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, China. cuiwhlib@gmail.com.
  • Li B; School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, China. sulibin@shu.edu.cn.
  • Chen J; School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, China. jane.chen@shu.edu.cn.
  • Li X; School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, China. LiXinwei@shu.edu.cn.
Sensors (Basel) ; 16(1)2015 Dec 26.
Article en En | MEDLINE | ID: mdl-26712762
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).
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Qualitative_research Idioma: En Revista: Sensors (Basel) Año: 2015 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Qualitative_research Idioma: En Revista: Sensors (Basel) Año: 2015 Tipo del documento: Article País de afiliación: China