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Research on the anti-noise performance of different velocity measurement methods using electrostatic sensor in dilute phase gas-solid two-phase flow

机译:静电传感器在稀相气固两相流中不同速度测量方法的抗噪性能研究

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Pneumatic conveying system is widely used in industrial production process and the velocity of solid powder is an important parameter to describe these processes. However, Owing to the turbulence effect of flowing fluid in the pneumatic conveying pipeline and the high complexity of solid particle movement direction, the waveform similarity of flow noise signal received by upstream and downstream sensors will be reduced, which would lead to velocity measurement error or even measure difficultly. Consequently, it is very necessary to research the anti-noise performance of different time-delay measurement methods. The experiments on the gas-solid two-phase flow rig and the simulation software were conducted respectively. Thus, calculation-rates obtained by different correlation-calculation methods were compared to research the anti-noise performance with different SNR. Experimental results show that the based cross-correlation method and LMS adaptive filtering algorithm have an advantage over others on the anti-noise performance.
机译:气力输送系统广泛应用于工业生产过程中,固体粉末的速度是描述这些过程的重要参数。然而,由于气动输送管道中流体的湍流效应和固体颗粒运动方向的复杂性,上下游传感器接收到的流噪声信号的波形相似性将降低,从而导致速度测量误差或甚至很难测量。因此,有必要研究不同时延测量方法的抗噪声性能。分别在气固两相流实验台和模拟软件上进行了实验。因此,比较了通过不同相关计算方法获得的计算速率,以研究不同信噪比下的抗噪性能。实验结果表明,基于互相关的方法和LMS自适应滤波算法在抗噪性能上均优于其他方法。

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