小波分析在流化床两相流信号处理中的应用  

Application of Wavelet Analysis on The Two-Phase Flow Signals in A Gas Fluidized Bad

作　　者：谢松法[1] 钱诗智[1] 陆继东[1] 

机构地区：[1]华中理工大学煤燃烧国家重点实验室

出　　处：《信号处理》1999年第4期372-375,共4页Journal of Signal Processing

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．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.

关 键 词：流化床锅炉 两相流 信号处理 小波分析 

分 类 号：TK229.66[动力工程及工程热物理—动力机械及工程]