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。
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