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。
Flow regime identification in horizontal gas- liquid two- phase flow using differential pressure signal is investigated in this paper.
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。
This dissertation focuses on the application of data fusion in two-phase flow regime identification.
试验结果表明所提出方法有效地抑制了高斯有色噪声对信号的影响，取得了良好的流型辨识效果。
The experimental results show the proposed method can suppress Gaussian noises of signal and is effective for flow pattern identification.
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