DWT-based adaptive decomposition method of electrostatic signal for dilute phase gas-solid two-phase flow measuring
DWT-based adaptive decomposition method of electrostatic signal for dilute phase gas-solid two-phase flow measuring
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基于DWT的稀相气固两相流测量静电信号自适应分解方法
DOI：
10.1016/j.powtec.2018.01.062
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发表时间：
2018-04-15
影响因子：
5.2
通讯作者：
Li, Yang
中科院分区：
文献类型：
--
作者：
Wang, Chao;Zhan, Ni;Li, Yang
内置式静电传感器在气固两相流测量中有着广泛的应用。测量信号包括感应电荷信号（ICS）和转移电荷信号（TCS）。根据传感器测量信号中干扰信号的频带特性，提出了一种基于离散小波变换的自适应分解方法，用于从传感器测量信号中提取干扰信号。在互相关粒子速度的测量中，从上游电极和下游电极提取的ICS之间的平均互相关系数为0.74，从从电极收集的总测量信号之间的先前系数0.48增加。这一显著增加表明，ICS更好地服务于更高精度的测量。同时，分解后的固相速度的平均相对标准偏差（RSD）从3.35%降低到2.69%，稳定性更好。此外，所提取的TCS的均方根（RMS）的固体质量流量和表观空气速度的增加呈线性增加的趋势，表明TCS也可以作为一种有效的方法来预测固体质量流量作为替代ICS。(C)2018爱思唯尔B.V.保留所有权利。
The inner flush-mounted electrostatic sensors are widely used for measuring gas-solid two-phase flow in many industries. The measured signal contains induced charge signal (ICS) and transferred charge signal (TCS). According to the band characteristics of the ICS, an adaptive decomposition method based on discrete wavelet transform (Dwr) is proposed to extract ICS from measured signals of the sensors. In the measurement of the cross-correlation particle velocity, the mean cross-correlation coefficient between the extracted ICS from upstream and downstream electrodes is 0.74, increased from the previous coefficient 0.48 between the overall measured signals collected from the electrodes. This significant increase shows that the ICS better serves the measurement with higher accuracy. Meanwhile, the mean relative standard deviation (RSD) of the solid velocity is reduced from 3.35% to 2.69% after decomposition, which brings better stability. In addition, the root-mean square (RMS) of the extracted TCS shows a trend of linear increase as the solid mass flow rate and superficial air velocity rise, indicating that TCS can also serve as an effective method to predict the solid mass flow rate as an alternative to ICS. (C) 2018 Elsevier B.V. All rights reserved.