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A Frequency-Correcting Method for a Vortex Flow Sensor Signal Based on a Central Tendency

机译:基于中央趋势的涡流流量传感器信号的频率校正方法

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摘要

A vortex flow meter employs a sensor based on the piezoelectric vibration principle to realize vortex signal acquisition, and therefore the measurement results are susceptible to vibration noise. In this paper, the generalized mode method is proposed based on the central tendency characteristic of the vortex signal and combined with the existing filter bank method. The method combining filter bank with the generalized mode is designed and applied in the signal-processing system of the vortex flow meter, which makes up for the defect that the filter bank method cannot filter out the noise in the sub-band. The simulation experiments verify the feasibility and anti-interference performance of the algorithm. Meanwhile, a comparison with two FFT (Fast Fourier Transform) spectrum analysis methods shows that the algorithm designed in this paper requires a smaller sample size and achieves better real-time performance. The actual anti-vibration experiment and calibration experiment verify that the signal-processing system of a vortex flow meter ensures good accuracy and repeatability.
机译:涡流流量计采用基于压电振动原理的传感器来实现涡流信号采集,因此测量结果易受振动噪声的影响。本文基于涡流信号的中心趋势特性提出了广义模式方法,并结合现有的滤波器组方法。将滤波器组合具有广义模式的方法在涡流流量计的信号处理系统中设计和应用,这弥补了滤波器组方法无法过滤滤波器中的噪声中的缺陷。仿真实验验证了算法的可行性和抗干扰性能。同时,与两个FFT(快速傅立叶变换)频谱分析方法的比较表明,本文设计的算法需要更小的样本大小并实现更好的实时性能。实际的抗振动实验和校准实验验证了涡流流量计的信号处理系统可确保良好的准确性和重复性。

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