化工自动化及仪表
化工自動化及儀錶
화공자동화급의표
Control and Instruments in Chemical Industry
2015年
10期
1114-1117,1126
,共5页
气-固两相流化床%多尺度熵算法%动力学特性
氣-固兩相流化床%多呎度熵算法%動力學特性
기-고량상류화상%다척도적산법%동역학특성
gas-solid fluidized bed%multi-scale entropy%dynamic characteristics
采用多尺度熵算法对气-固流化床内4种典型流型的压力脉动信号进行研究,分析了其内部多尺度动力学特性. 结果表明:不同流型由于其动力学特性不同,导致压力脉动信号的多尺度排列熵值存在差异. 在小尺度下4种流化型态的多尺度熵值都是随着尺度的增加近似呈线性增长,在大尺度下熵值的增长十分缓慢. 此外,利用多尺度熵值变化速率特征识别气-固流化床内的流型,是一种新的流型辨识方法.
採用多呎度熵算法對氣-固流化床內4種典型流型的壓力脈動信號進行研究,分析瞭其內部多呎度動力學特性. 結果錶明:不同流型由于其動力學特性不同,導緻壓力脈動信號的多呎度排列熵值存在差異. 在小呎度下4種流化型態的多呎度熵值都是隨著呎度的增加近似呈線性增長,在大呎度下熵值的增長十分緩慢. 此外,利用多呎度熵值變化速率特徵識彆氣-固流化床內的流型,是一種新的流型辨識方法.
채용다척도적산법대기-고류화상내4충전형류형적압력맥동신호진행연구,분석료기내부다척도동역학특성. 결과표명:불동류형유우기동역학특성불동,도치압력맥동신호적다척도배렬적치존재차이. 재소척도하4충류화형태적다척도적치도시수착척도적증가근사정선성증장,재대척도하적치적증장십분완만. 차외,이용다척도적치변화속솔특정식별기-고류화상내적류형,시일충신적류형변식방법.
Multi-scale entropy algorithm was employed to investigate the pressure fluctuation signals of four flow patterns in the gas-solid fluidized bed, including the analysis of their multi-scale dynamic characteristics. The results show that the flow patterns' different dynamic characteristics can lead to multi-scale entropy differ-ences of pressure fluctuation signals; and in the small scale, the multi-scale entropy values of four patterns show an approximate linear growth with the increase of scale and the entropy growth becomes slow at the large scales.It's regarded the new method of employing the characteristics of multi-scale entropy's changing rate to identify the flow patterns.
