摘要
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。
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.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2002年第5期446-449,共4页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金资助项目(No6075003)。
关键词
气固两相流
气固流化床
流型识别
混沌参数
距离判别
Gas-solid fluidized bed Flow regimes idenlification Chaos parameters Distance differentiation analgsis
