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A novel method for CMF signal processing based on the revised sliding recursive DTFT algorithm

机译:一种基于修正滑动递归DTFT算法的CMF信号处理的新方法

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There is a large computational load when measuring the phase difference between two signals of Coriolis mass flowmeter (CMF) because of redundancy calculations, which decreases the accuracy and real time qualities. A novel method for CMF signal processing is proposed based on the revised sliding recursive discrete-time Fourier transform (DTFT) algorithm. First, a new adaptive notch filter is introduced to filter the sensor output signals of the CMF and calculate the frequency. Then, a new method based on the revised sliding recursive DTFT algorithm is applied to calculate the real-time phase difference between two enhanced signals. With the frequency and the phase difference obtained, the time interval of the two signals is calculated, and then, the mass flowrate is derived. Simulation and experimental results show that the computational load of the complete set of algorithm is small and numerical overflow never happens along with higher accuracy of the CMF.
机译:当测量Coriolis质量流量计(CMF)的两个信号之间的相位差时,由于冗余计算,有大的计算负载,这降低了精度和实时质量。基于修正的滑动递归离散时间傅里叶变换(DTFT)算法,提出了一种新的CMF信号处理方法。首先,引入新的自适应陷波滤波器以过滤CMF的传感器输出信号并计算频率。然后,应用基于修改的滑动递归DTFT算法的新方法来计算两个增强信号之间的实时相位差。利用所获得的频率和相位差,计算两个信号的时间间隔,然后,导出质量流量。模拟和实验结果表明,全套算法的计算负荷小,数值溢出从未发生的CMF的更高精度。

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