提出了一种基于经验模式分解的气液两相流流型识别方法。
A method of flow regime identification based on empirical mode decomposition was proposed.
本文基于经验模式分解理论提出了一种新的分割方法。
This paper proposes a new image segmentation method based on the theory of EMD.
研究结果表明:基于经验模式分解的时频分析方法可以很有效地提取到非平稳故障特征信号,是一种适合于非线性信号处理的方法。
The experiment result shows that the time-frequency method based on EMD can effectively extract the feature of unbalanced fault signal and is proper for non-frequency modulation signal procession.
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