气固流化床压力信号时间序列复杂性特征研究

运用复杂性理论，提取涨落复杂性参数对压力脉动信号进行分析，在气固流化床从起始流化到快速流化宽范围内研究了涨落复杂性随操作气速变化的规律性，并将涨落复杂性和混沌参数最大Lyapnov指数分析结果进行了比较。研究表明气泡相的复杂行为是造成流化床复杂性增大的根本原因，在对进入混沌态的敏感指示上，两者一致，但复杂性分析算法简洁方便，不仅为压力信号的非线性分析提供了新的思路，而且有着广阔的应用前景。

Study on Complexity Charicters of Pressure Signals in Gas-solid Fluidized Bed

In this study, complexity theory is adopted to analyze pressure fluctuation in a gas solid fluidized bed. The characteristic of fluctuation parameter C f with the change of velocity is studied under wide operation conditions from initial fluidized bed to fast bed, and compared with chaos parameter maximum Lyapunov exponent. The results demonstrated that the complex behavior of bubbles is the main reason for the increase of complexity in the bed. The experimental results show that the critical transition point of chaos stated by complexity analysis corresponds well with that proposed by chaos analysis, but complexity analysis is ease to be calculate, so complexity theory not only provides a new method for analyzing non linear pressure fluctuation, but also have been proposed to have a widely applicable prospect.