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SVM based measurement method and implementation of gas-liquid two-phase flow for CMF

机译:基于SVM的CMF气液两相流的测量方法和实现

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The lack of timely flowtube drive and large measurement error are two major problems for Coriolis mass flowmeter (CMF) to measure gas-liquid two-phase flow. To solve above problems, a dual-core CMF transmitter is developed with a DSP chip and an FPGA chip. The FPGA is used to realize a digital drive method for driving the flowtube to vibrate normally. The DSP is utilized to realize a zero-crossing detection algorithm for calculating the mass flowrate. The Support Vector Machine (SVM) method is adopted to establish the mass flow measurement error (MFME) model for on-line real-time correction. The experimental results show that the developed transmitter improves the update speed of the drive signal and drive efficiency, and reduces the execution time of the algorithm. The SVM method has higher modeling accuracy and good generalization performance, and can be effectively applied to on-line real-time correction of the MFMEs under the gas-liquid two-phase flow. (C) 2019 Published by Elsevier Ltd.
机译:缺乏及时流动的驱动器和大型测量误差是科里奥利质量流量计(CMF)的两个主要问题,以测量气液两相流量。为了解决上述问题,使用DSP芯片和FPGA芯片开发了双核CMF发射器。 FPGA用于实现驱动流动管振动通常的数字驱动方法。 DSP用于实现用于计算质量流量的过零检测算法。采用支持向量机(SVM)方法来建立用于在线实时校正的质量流量测量误差(MFME)模型。实验结果表明,发育变送器提高了驱动信号的更新速度和驱动效率,并减少了算法的执行时间。 SVM方法具有更高的建模精度和良好的泛化性能,并且可以有效地应用于气液两相流下的MFMES的在线实时校正。 (c)2019年由elestvier有限公司出版

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