This dissertation focuses on the application of data fusion in two-phase flow regime identification.
将数据融合技术应用于流型辨识研究，对其中的层次、结构等问题进行了深入的探讨。
Flow regime identification in horizontal gas- liquid two- phase flow using differential pressure signal is investigated in this paper.
本文利用差压波动信号对水平管气液两相流流型辨识问题进行了研究。
Studies on flow regime identification of two phase flow according pressure fluctuation signal in recent years have been reviewed.
介绍了近年来通过压力（压差）波动过程实现气（汽）液两相流流型识别的最新研究成果。
The flow regime of two-phase flow is straightly and physically charaterized by the size of gas bubbles relating to pipe diameter and the distribution of gas bubbles.
两相流流型分类的直观物理几何意义在于气泡空间尺度（相对于流道水力学当量直径）及其分布。
The flow regime of two-phase flow is straightly and physically charaterized by the size of gas bubbles relating to pipe diameter and the distribution of gas bubbles.
两相流流型分类的直观物理几何意义在于气泡空间尺度（相对于流道水力学当量直径）及其分布。
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