信息理论在气固流化床颗粒碰撞压力波动信号分析中的应用

Application of Information Theory to Analysis of Particle Colliding Pressure Signal in Gas-Solid Fluidized Bed

用信息理论中信源熵或信息流率的概念来判断气固流化床中颗粒碰撞压力信号中存在的混沌现象 ,确定信号中噪声的干扰情况 ,同时计算了不同操作条件下体系的KS熵。

Particle colliding pressure signal in gas-solid fluidized bed has been seeing as random signal, but there is no strong reason for this conclusion. The concept of information flow or source entropy in information theory can identify the type of a time series, that is a white noise or Markov process in random process, a pure chaos or a chaos with noise in chaotic phenomenon. The information theory was used to determine the type of particle colliding pressure signal in gas-solid fluidized bed herein. The noise level and KS entropy of system at different operation condition were estimated by this method. The results show that particle colliding signal has chaotic character but with noise and can be used as fundamental of further analysis of particle colliding pressure in gas-solid fluidized bed.