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小波分析在流化床两相流信号处理中的应用
引用本文:谢松法,钱诗智,陆继东.小波分析在流化床两相流信号处理中的应用[J].信号处理,1999(4).
作者姓名:谢松法  钱诗智  陆继东
作者单位:华中理工大学煤燃烧国家重点实验室
摘    要:本文根据流化床锅炉内气泡相与密相中颗粒浓度信号的频谱特性的差异,采用小波方法确定两相交替出现的时刻,提取其中气泡相颗粒浓度信号,应用局部互相关方法求取床内气泡运动参数,并给出了气泡运动参数的统计规律.结果表明,该方法是有效的.

关 键 词:流化床  小波分析  互相关方法

Application of Wavelet Analysis on The Two-Phase Flow Signals in A Gas Fluidized Bad
Xie Songfa Qian shizhi Lu Jidong.Application of Wavelet Analysis on The Two-Phase Flow Signals in A Gas Fluidized Bad[J].Signal Processing,1999(4).
Authors:Xie Songfa Qian shizhi Lu Jidong
Affiliation:Xie Songfa Qian shizhi Lu Jidong
Abstract:According to the differs of spectrUm characteristics between the bubble-phase signal and dense-phase signal in a gas fluidized bed, the points alternated from one phase to another phase can be deternined exactly by using wavelet method and the bubble-phase signals can be picked up. Based on this analysis, a local cross-correlation mehtod for obtaining bubble movement parameters was presented. The real processing results show that the bubble she and velocity were both obeyed log-normal normal.
Keywords:Fluidized Bad  Wavelet Analysis  Cross-correlation
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