DEVELOPMENT OF ON-LINE IDENTIFICATION OF STEAM (GAS)-LIQUID TWO-PHASE FLOW REGIMES
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摘要: 综述了根据参数波动过程实现气液两相流流型在线识别的最新研究成果,内容包括两相流参数波动的产生机理,小波分析的应用,两相流参数波动过程的特征提取和特征分析,流型在线识别的特点及各种实现方法等。重点介绍了两相流参数波动过程的统计和非线性特征分析及其与流型之间的关系。深入讨论了流型神经网络识别方法及其存在的问题。从波动参数的选择、数理解释、流型识别方法等不同方面对研究进展进行了讨论。Abstract: The status of online identification for gas-liquidtwo-phase flow regime using the parameter fluctuation isreviewed. This paper mainly discusses the mechanism for thetwo-phase flow parameter fluctuation, the application ofwavelet theory, feature extraction and analysis of thefluctuation, and realizing methods. In particular, itemphasizes both the statistical and nonlinear analysis andtheir relationship with flow regimes. Furthermore, the neuralnetwork method to identify flow regimes and its developmentare reviewed and discussed in detail. The research advance isdiscussed in the selection of fluctuating parameters, thephysical interpretation of the fluctuations and the identificationmethod.
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Key words:
- two-phase flow /
- flow regime /
- identification /
- nonlinear /
- neural network
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