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．
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.
出处
《力学进展》
EI
CSCD
北大核心
2001年第3期437-446,共10页
Advances in Mechanics
基金
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
关键词
两相流
流型
识别
非线性
神经网络
汽液两相流
two-phase flow, flow regime, identification, nonlinear, neural network
