气固流化床多参数信号特征提取

Character Analysis on Multi-signals in a Gas-solid Fluidized Bed

利用光纤、压力传感器同时获取气固流化床不同位置颗粒浓度、压差、压力信号时间序列,运用涨落复杂性参数分析三种信号时间序列,研究聚氯乙烯颗粒在低气速下的流化状况。实验结果表明三种信号复杂性分析都体现床内运动存在涨落过程,同时结果表明涨落复杂性参数在不同信号中的趋势是一致的,有理由认为涨落复杂性参数对应的仅是系统本身的一定流型运动状况。

Using optic fiber and pressure sensors to detect pressure fluctuation,pressure difference and particle concentration signals in order to study the characters of the bed under low velocity. Fluctuation complexity is chosen to analyze these three time series. Experiment data all show that there exists'fluctuation'regime between aggregative fluidization and particulate fluidization. Results of trends with superficial gas velocity from three different signals are consistent and it is a good means to identify flow regime which is only corresponding with fluidized status.