边缘检测小波对信号奇异性的检测在汽液两相流动中的应用  

The Use of Edge Detection of Wavelets for Signal Singularity Detection in a Gas-liquid Two-phase Flow

作　　者：尚智[1] 郭玉君[1] 苏光辉[1] 贾斗南[1] 

机构地区：[1]西安交通大学能源与动力工程学院,陕西西安710049

出　　处：《热能动力工程》2001年第4期412-424,共13页Journal of Engineering for Thermal Energy and Power

摘　　要：对于函数 (信号 )奇异性的检测方法主要是用小波变换实现的 ,小波分解具有良好的空间域和频率域的局部化特性 ,因此小波变换可以刻画出信号的变化规律以及对信号内奇异点的各种奇异性质进行检测和分析。对汽液两相的流动工况也可以用边缘检测小波变换去进行分析 ,并实现对汽液两相流动的热工数值检测。通过对汽液两相均相流动模型压力曲线的边缘检测 ,证明了边缘检测小波完全可以用于对汽液两相的流动工况进行边缘检测。Currently, function (signal) singularity detection method is mainly realized through the use of wavelet transformation. As the dissociation of wavelets is characterized by a fairly good localized feature of space and frequency domain, the wavelet transformation can delineate the variation law of signals and perform the detection and analysis of various singular properties of singular points in signals. It is also possible to analyze a gas liquid two phase flow condition through an edge detection of wavelet transformation and detect thermodynamic data in a gas liquid two phase flow. The edge detection of pressure curves of a gas liquid two phase uniform phase flow model shows that the edge detection of wavelets can be fully utilized to perform the edge detection of the gas liquid two phase flow conditions.

关 键 词：小波变换 边缘检测 汽液两相流 信号奇异性 

分 类 号：O359.1[理学—流体力学] TQ013.1[理学—力学]