Gas–liquid Flow Pattern Recognition Based on Wavelet Packet Energy Entropy of Vortex-induced Pressure Fluctuation
Gas–liquid Flow Pattern Recognition Based on Wavelet Packet Energy Entropy of Vortex-induced Pressure Fluctuation
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DOI：
10.2478/msr-2013-0016
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发表时间：
2013-04
期刊：
影响因子：
--
通讯作者：
Zhi-qiang Sun;Shuai Shao;Hui Gong
中科院分区：
文献类型：
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作者：
Zhi-qiang Sun;Shuai Shao;Hui Gong
在这里，我们报告了一种新的流型图，以区分在环境温度和大气压力下的水平管道中的气液流动模式。该映射是利用小波包能量熵与总质量流量的坐标系构造的。对涡激压力脉动信号进行小波包分解，得到小波包能量熵。采用垂直于流动方向的三角形海崖体来产生压力脉动。实验验证了小波包能量熵作为气液两相流流型的理想指标的可行性。该地图的总体识别率为92.86%，可以满足大多数工程应用。该方法为气液两相流流型识别问题提供了一种简单、实用、鲁棒的解决方案。
Here we report a novel flow-pattern map to distinguish the gas-liquid flow patterns in horizontal pipes at ambient temperature and atmospheric pressure. The map is constructed using the coordinate system of wavelet packet energy entropy versus total mass flow rate. The wavelet packet energy entropy is obtained from the coefficients of vortex-induced pressure fluctuation decomposed by the wavelet packet transform. A triangular bluff body perpendicular to the flow direction is employed to generate the pressure fluctuation. Experimental tests confirm the suitability of the wavelet packet energy entropy as an ideal indicator of the gas-liquid flow patterns. The overall identification rate of the map is 92.86%, which can satisfy most engineering applications. This method provides a simple, practical, and robust solution to the problem of gas-liquid flow pattern recognition.