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Improvement of signal processing in Coriolis mass flowmeters for gas-liquid two-phase flow
Frontiers of Information Technology & Electronic Engineering ( IF 2.7 ) Pub Date : 2021-02-11 , DOI: 10.1631/fitee.1900558
Chunhui Li , Lijun Sun , Jiarong Liu , Yang Zhang , Haiyang Li , Huaxiang Wang

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.



中文翻译:

改进的科里奥利质量流量计的气液两相流信号处理

作为一种日益流行的流量计量技术,科里奥利质量流量计在单相流量条件下显示出很高的测量精度,并在工业中得到了广泛的应用。但是,在复杂的流动条件下,例如两相流,由于各种因素(包括不正确的信号处理方法),测量精度会大大降低。在这项研究中,分析了三种数字信号处理方法-正交解调(QD)方法,希尔伯特方法和滑动离散时间傅立叶变换方法-在它们处理传感器信号并在气液两相流下提供测量结果的应用中健康)状况。在分析的基础上,对两相流条件下的信号处理方法进行了具体的改进。为了模拟,使用随机游走模型建立单相和两相流动条件下的传感器信号。在仿真中评估了这三种方法的相位差跟踪性能。基于数字信号处理器,在其评估板上实现了转换器程序。转换器程序在单相和两相流动条件下进行测试。改进的信号处理方法根据测量精度和复杂性进行评估。QD算法在单相流动条件下具有最佳性能。在两相流条件下,在指示误差和可重复性方面,QD算法在改进的希尔伯特算法在160、250和420 kg / h的流量点上的性能要好于改进的希尔伯特算法,而希尔伯特算法的性能优于QD算法。 600 kg / h的流量点。

更新日期:2021-02-11
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