燃煤流化床燃烧声波混沌特性研究

Characterization of Fluidized Bed Combustion Based on Chaotic Time Series Analysis of Acoustic Signals

本文应用混沌理论对燃煤流化床燃烧产生的声波信号进行了研究。研究表明，声波信号能很好地反映流化床燃烧过程的物理本质，它富含流化床燃烧的多变量动力学状态的信息；流化床燃烧系统是一个具有混沌特性的非线性动力系统；根据声波信号构造出来的混沌吸引子在不同煤种、不同流化风速和不同燃烧区域具有明显不同的结构特征。

In this paper, the acoustic signals of FBC is studied with chaotic theory. The results reveal that the acoustic signals contain rich information of FBC. The FBC is a non linear system which is chaotic. The attractor constructed from acoustic signals can be used to distinguish the behavior patterns of different regimes such as coal sorts, fluidized air rate, and combustion zones etc.