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Study on Decomposition of Pressure Fluctuations Using a Series of Daubechies Wavelets in a Fluidized Bed
Author(s): 
Pages: 272-278
Year: Issue:  3
Journal: JOURNAL OF CHEMICAL ENGINEERING OF CHINESE UNIVERSITIES

Keyword:  压力波动Daubechies小波最优小波流化床;
Abstract: 由于小波具有紧支集的正交特性,作为一种信号处理方法已引起了越来越多的关注和重视.基于床层压力波动信号的小波分析已用于流态化的研究.但由于在采用多大紧支集的Daubechies小波时具有一定的随意性, 对相同的信号,应用不同紧支集的Daubechies小波可能会得到不同的结果.为了了解小波分析的误差,本文对流化床不同测量位置的压力波动信号用不同紧支集的Daubechies小波族在1~9尺度下进行分解和重构,对比重构信号和原始信号发现,紧支集为[-1, 2]的Dau2小波用于压力波动信号分析时误差最小,为压力波动Daubechies小波分析的最优小波.而紧支集为[-9, 10]的Dau10小波分解误差最大,其次为紧支集为[-4, 5]的Dau5小波.
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