基于混沌参数的距离判别在气固两相流流型辨识中的应用

结合混沌分析与距离判别，筛选出关联维数、涨落复杂性以及算法复杂性三个参数作为压力脉动样本的特征变量。在此基础上依据距离判别，建立了判别函数。最终达到在不必精确获得床内操作条件，用床内压力脉动信号对流化床的流型进行自动识别的效果，这为流型辨识的工业应用提供了新的思路。

Distance Differentiation Analysis in the Identification of Flow Regimes Based on Chaos Parameters in a Gas-solid Fluidized Bed

Chaos parameters and distance discrimination are jointly applied into identification of flow regimes in a gas-solid fluidized bed for the first time. The correlation dimension, fluctuation complexity and algorithmic complexity are picked out as eigenvalue of the original specimen according to a certain principle and a discriminating function is suitably founded. Ultimately, this method gives an efficient scheme to identify different regimes and provides a novel idea for industrial application.