Similar articles

Abstract: As an increasingly popular flow metering technology, coriolis mass flowmeter exhibits high measurement accuracy under single-phase flow condition and is widely used in the industry. However, under complex flow conditions, such as two-phase flow, the measurement accuracy is greatly decreased due to various factors including improper signal processing methods. In this study, three digital signal processing methods�the quadrature demodulation (QD) method, Hilbert method, and sliding discrete time Fourier transform method�are analyzed for their applications in processing sensor signals and providing measurement results under gas-liquid two-phase flow condition. Based on the analysis, specific improvements are applied to each method to deal with the signals under two-phase flow condition. For simulation, sensor signals under single- and two-phase flow conditions are established using a random walk model. The phase difference tracking performances of these three methods are evaluated in the simulation. Based on the digital signal processor, a converter program is implemented on its evaluation board. The converter program is tested under single- and two-phase flow conditions. The improved signal processing methods are evaluated in terms of the measurement accuracy and complexity. The QD algorithm has the best performance under the single-phase flow condition. Under the two-phase flow condition, the QD algorithm performs a little better in terms of the indication error and repeatability than the improved Hilbert algorithm at 160, 250, and 420 kg/h flow points, whereas the Hilbert algorithm outperforms the QD algorithm at the 600 kg/h flow point.

科里奥利质量流量计气液两相流信号处理的改进

[1]Cage DR, 1988. Drive Means for Oscillating Flow Tubes of Parallel Path Coriolis Mass Flow Rate Meter. US Patent 473 814 4.

[2]Carpenter BL, 1988. Ferromagnetic Drive and Velocity Sensors for a Coriolis Mass Flow Rate Meter. US Patent 477 783 3.

[3]Fan LY, 1995. The description for staggered periodic sampling signal FIR filter in time and frequency domains. Acta Electron Sin, 23(9):70-74 (in Chinese).

[4]Flecken P, 1989. Arrangement for Generating Natural Resonant Oscillations of a Mechanical Oscillating System. US Patent 480 189 7.

[5]Huang DP, Wang JQ, Yu SD, et al., 2016. Research on the analog driving circuit of Coriolis mass flow meter. Autom Instrum, 31(1):71-76 (in Chinese).

[6]Kalotay P, Bruck R, Emch A, et al., 1991. Flow Tube Drive Circuit Having a Bursty Output for Use in a Coriolis Meter. US Patent 500 910 9.

[7]Kunze JW, Storm R, Wang T, 2014. Coriolis mass flow measurement with entrained gas. Proc Sensors and Measuring Systems, p.1-6.

[8]Li M, Henry M, 2016. Signal processing methods for Coriolis mass flow metering in two-phase flow conditions. Proc IEEE Int Conf on Industrial Technology, p.690-695.

[9]Li M, Xu KJ, Hou QL, et al., 2010. Startup method of digital Coriolis mass flowmeter using alternating exciting of positive-negative step signal. Chin J Sci Instrum, 31(1):172-177 (in Chinese).

[10]Li XG, Xu KJ, 2009. Research on non-linear amplitude control method of Coriolis mass flow-tube. J Electron Meas Instrum, 23(6):82-86 (in Chinese).

[11]Li Y, Xu KJ, Zhu ZH, et al., 2010. Study and implementation of processing method for time-varying signal of Coriolis mass flowmeter. Chin J Sci Instrum, 31(1):8-14 (in Chinese).

[12]Liu JR, Sun LJ, Wang HX, 2018. Signal processing of Coriolis mass flowmeters under gas-liquid two-phase flow conditions. Proc IEEE Int Instrumentation and Measurement Technology Conf, p.1-6.

[13]Maginnis RL, 2003. Initialization Algorithm for Drive Control in a Coriolis Flowmeter. US Patent 650 513 5.

[14]Mehendale A, 2008. Coriolis Mass Flow Rate Meters for Low Flows. PhD Thesis, University of Twente, Enschede, the Netherlands.

[15]Meribout M, Saied IM, Hosani EA, 2018. A new FPGA-based terahertz imaging device for multiphase flow metering. IEEE Trans Terahertz Sci Technol, 8(4):418-426.

[16]Meribout M, Shehaz F, Saied IM, et al., 2019. High gas void fraction flow measurement and imaging using a THz-based device. IEEE Trans Terahertz Sci Technol, 9(6):659-668.

[17]Röck H, Koschmieder F, 2009. Model-based phasor control of a Coriolis mass flow meter (CMFM) for the detection of drift in sensitivity and zero point. In: Mukhopadhyay SC, Gupta GS, Huang RY (Eds.), Recent Advances in Sensing Technology. Springer Berlin Heidelberg, p.221-240.

[18]Romano P, 1990. Coriolis Mass Flow Rate Meter Having a Substantially Increased Noise Immunity. US Patent 493 419 6.

[19]Shen TA, Tu YQ, Li M, et al., 2015. New sliding DTFT algorithm for phase difference measurement based on a new kind of windows and its analysis. J Centr South Univ, 46(4):1302-1309 (in Chinese).

[20]Shen TA, Li M, Li HN, et al., 2017. Phase difference estimation method for Coriolis mass flowmeter based on correlation and Hilbert transform. Chin J Sci Instrum, 38(12):2908-2914 (in Chinese).

[21]Shimada H, 2013. Coriolis Flowmeter. US Patent 844 278 1.

[22]Svete A, Kutin J, Bobovnik G, et al., 2015. Theoretical and experimental investigations of flow pulsation effects in Coriolis mass flowmeters. J Sound Vibr, 352:30-45.

[23]Tao BB, Hou QL, Shi Y et al., 2014. Method and implementation of measuring the flow of liquid mixed with gas for Coriolis mass flowmeter. Chin J Sci Instrum, 35(8):1796-1802 (in Chinese).

[24]Tu YQ, Zhang HT, 2008. Method for CMF signal processing based on the recursive DTFT algorithm with negative frequency contribution. IEEE Trans Inst Meas, 57(11):2647-2654.

[25]Wang JH, 2013. Design of Coriolis Mass Flowmeter Based on Orthogonal Algorithm. MS Thesis, Shanghai Jiao Tong University, Shanghai, China (in Chinese).

[26]Wang T, Baker R, 2014. Coriolis flowmeters: a review of developments over the past 20 years, and an assessment of the state of the art and likely future directions. Flow Meas Instrum, 40:99-123.

[27]Yang HY, Tu YQ, Zhang HT, et al., 2012. Phase difference measuring method based on SVD and Hilbert transform for Coriolis mass flowmeter. Chin J Sci Instrum, 33(9):2101-2107 (in Chinese).

[28]Yang JW, Jia MP, 2006. Study on processing method and analysis of end problem of Hilbert-Huang spectrum. J Vibr Eng, 19(2):283-288 (in Chinese).

[29]Yokoi T, Owada H, 1996. Coriolis Type Mass Flowmeter Utilizing Phase Shifters for Phase Shifting of the Output Signals. US Patent 557 876 4.

[30]Zamora M, Henry MP, 2008. An FPGA implementation of a digital Coriolis mass flow metering drive system. IEEE Trans Ind Electron, 55(7):2820-2831.

[31]Zhang JG, Xu KJ, Fang ZY, et al., 2017. Applications of digital signal processing technology in Coriolis mass flowmeter. Chin J Sci Instrum, 38(9):2087-2102 (in Chinese).