Abstract The electromagnetic vortex flowmeter is a new type of instrument for detecting the steam generator leakage in sodium-cooled fast reactor for the operational safety of the entire nuclear power plant, and its performance is determined by the signal processing method. However, the existing signal processing methods pay more attention to the amplitude of the signal, and there are many factors that affect the amplitude of the signal, including the strength of the magnetic field, the flow rate of liquid sodium, and the magnification of the conditioning circuit. Therefore, a signal processing method of bubbles detection in sodium is studied from the perspective of frequency. It is found that the bubbles will cause a distorted waveform in the output signal of the OSOES 1 , thereby affecting the frequency calculation result of the OSOES. The flow signal cycle is used as the time unit to calculate the frequency of the OSOES, and the frequency fluctuation coefficient is defined. The relationship between the frequency fluctuation coefficient and the number of flow signal cycles is established to provide a strategy for studying how to highlight the effect of bubbles on the OSOES. A frequency fluctuation coefficient based bubbles detection method in sodium flow is proposed. It is implemented on DSP-based hardware system in real-time, and the verification experiments show that this method can detect the minimum water leak rate in the SG as low as 0.1 g/s.

中文翻译：

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基于频率波动系数的电磁涡街流量计钠流气泡检测方法

摘要 电磁涡街流量计是一种用于检测钠冷快堆蒸汽发生器泄漏的新型仪表，以保证整个核电站的运行安全，其性能由信号处理方法决定。然而，现有的信号处理方法更注重信号的幅值，影响信号幅值的因素很多，包括磁场强度、液钠流量、放大倍数等。调理电路。因此，从频率的角度研究了钠中气泡检测的信号处理方法。发现气泡会导致OSOES 1的输出信号波形失真，从而影响OSOES的频率计算结果。以流量信号周期为时间单位计算OSOES的频率，定义频率波动系数。建立频率波动系数与流量信号周期数之间的关系，为研究如何突出气泡对OSOES的影响提供策略。提出了一种基于频率波动系数的钠流气泡检测方法。该方法在基于DSP的硬件系统上实时实现，验证实验表明，该方法可以检测出SG的最小漏水率低至0.1 g/s。建立频率波动系数与流量信号周期数之间的关系，为研究如何突出气泡对OSOES的影响提供策略。提出了一种基于频率波动系数的钠流气泡检测方法。该方法在基于DSP的硬件系统上实时实现，验证实验表明，该方法可以检测出SG的最小漏水率低至0.1 g/s。建立频率波动系数与流量信号周期数之间的关系，为研究如何突出气泡对OSOES的影响提供策略。提出了一种基于频率波动系数的钠流气泡检测方法。该方法在基于DSP的硬件系统上实时实现，验证实验表明，该方法可以检测出SG的最小漏水率低至0.1 g/s。