Detection of Fractal Characters in Density Wave Oscillation of Vapor Water Two Phase Flow With Wavelet Transform
-
摘要: 结合小波变换和分解良好的时频局部化特性与分形理论,从非线性复杂系统出发,通过未经简化和抽象的研究对象去认识其内在规律性的非线性特性,对汽液两相流动密度波不稳定性同时进行时频分析和非线性分析,并检测脉动参数的分行特征。Abstract: A new research method is employed to study vapor water two phase flow. This method combines the timefrequency localization of wavelet transform and fractal theory. It studies the density wave oscillation of vapor water two phase flow based on the analysis method of nonlinear complex system. This novel method not only studies original objects directly, but also does the timefrequency and nonlinear analysis at the same time. The fractal characters of the oscillation parameters of vapor water two phase flow are detected by wavelet functions from the original experiment data.
-
-
[1] 尚 智,刘瑞兰,苏光辉,等.基于神经网络的小波分析在两相流不稳定性中的应用[J] 核动力工程,2000,21(5):407~410. [2] WangYanzhen,CavanaughJE,SongChangyong.Self similarityIndexEstimationviaWaveletsforLocallySelf similarProcesses[J]. JournalofStatisticalPlanningandInference,2001,99:91~110. [3] 程正兴.小波分析算法与应用[M] 西安:西安交通大学出版社,1998 223~225
计量
- 文章访问数: 429
- HTML全文浏览量: 0
- PDF下载量: 930