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Frequency-feature based antistrong-disturbance signal processing method and system for vortex flowmeter with single sensor

机译:单传感器涡街流量计基于频率特征的抗强干扰信号处理方法及系统

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摘要

Digital signal processing methods have been applied to vortex flowmeter for extracting the useful information from noisy output of the vortex flow sensor. But these approaches are unavailable when the power of the mechanical vibration noise is larger than that of the vortex flow signal. In order to solve this problem, an antistrong-disturbance signal processing method is proposed based on frequency features of the vortex flow signal and mechanical vibration noise for the vortex flowmeter with single sensor. The frequency bandwidth of the vortex flow signal is different from that of the mechanical vibration noise. The autocorrelation function can represent bandwidth features of the signal and noise. The output of the vortex flow sensor is processed by the spectrum analysis, filtered by bandpass filters, and calculated by autocorrelation function at the fixed delaying time and at τ=0 to obtain ratios. The frequency corresponding to the minimal ratio is regarded as the vortex flow frequency. With an ultralow-power microcontroller, a digital signal processing system is developed to implement the antistrong-disturbance algorithm, and at the same time to ensure low-power and two-wire mode for meeting the requirement of process instrumentation. The water flow-rate calibration and vibration test experiments are conducted, and the experimental results show that both the algorithm and system are effective.
机译:数字信号处理方法已被应用于涡街流量计,以从涡街传感器的噪声输出中提取有用信息。但是,当机械振动噪声的功率大于涡流信号的功率时,这些方法将不可用。为了解决这个问题,针对单传感器涡街流量计,提出了一种基于涡街信号频率特性和机械振动噪声的抗强干扰信号处理方法。涡流信号的频率带宽不同于机械振动噪声的带宽。自相关函数可以表示信号和噪声的带宽特征。涡流传感器的输出通过频谱分析进行处理,通过带通滤波器进行滤波,并通过自相关函数在固定延迟时间和τ= 0处进行计算以获得比率。对应于最小比率的频率被认为是涡流频率。利用超低功耗微控制器,开发了一种数字信号处理系统,以实现抗强干扰算法,同时确保低功耗和两线模式,以满足过程仪表的要求。进行了水流量标定和振动试验实验,实验结果表明该算法和系统都是有效的。

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