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汽(气)液两相流流型在线识别的研究进展
引用本文:白博峰,郭烈锦,赵亮.汽(气)液两相流流型在线识别的研究进展[J].力学进展,2001,31(3):437-446.
作者姓名:白博峰  郭烈锦  赵亮
作者单位:西安交通大学动力工程多相流国家重点实验室
基金项目:国家重点基础研究发展纲要“973”(G1999022308-2)课题,国家“863”海洋高技术项目联合资助
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。

关 键 词:两相流  流型  识别  非线性  神经网络
修稿时间:1999年10月18

DEVELOPMENT OF ON-LINE IDENTIFICATION OF STEAM (GAS)-LIQUID TWO-PHASE FLOW REGIMES
Bai Bofeng,Guo Liejin,Zhao Liang.DEVELOPMENT OF ON-LINE IDENTIFICATION OF STEAM (GAS)-LIQUID TWO-PHASE FLOW REGIMES[J].Advances in Mechanics,2001,31(3):437-446.
Authors:Bai Bofeng  Guo Liejin  Zhao Liang
Abstract:The status of online identification for gas-liquid two-phase flow regime using the pa-rameter fluctuation is reviewed. This paper mainly discusses the mechanism for the two-phase flow parameter fluctuation, the application of wavelet theory, feature extraction and analysis of the fluctuation, and realizing methods. In particular, it emphasizes both the statistical and non-linear analysis and their relationship with flow regimes. Furthermore, the neural network method to identify now regimes and its development are reviewed and discussed in detail. The research advance is discussed in the selection of fluctuating parameters, the physical interpretation of the fluctuations and the identification method.
Keywords:two-phase flow  flow regime  identification  nonlinear  neural network
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