A new method for identifying flow pattern of spouted fluidized bed by coupling Hilbert-Huang transform characteristics of differential pressure signals in different zones
作者机构：School of Energy and EnvironmentAnhui University of TechnologyMaanshan243002China Wuhu Technology and Innovation Research InstituteWuhu241000China Wuhu Cigarette Factory of China Tobacco Anhui Industrial Co.Ldt.Wuhu241002China
出 版 物：《Particuology》 (颗粒学报（英文版）)
年 卷 期：2024年第89卷第6期
页 面：67-78页
核心收录：
学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学]
基 金：Financial support from the Natural Science Foundation of Anhui Province,China(grant No.2108085ME161) the University Natural Science Research Project of Anhui Province,China(grant No.2022AH050317) Wuhu Technology and Innovation Research Institute Fund(grant No.RZ2300000872) Anhui Province University Excellent Talents Training Funding Project(grant No.gxyqZD2021108)are gratefully acknowledged
主 题：Spouted fluidized bed Flow pattern Zoning signal Flow pattern transition Hilbert-Huang transform
摘 要：On a cold spouted fluidized bed,this study compares the characteristic differences in intrinsic mode function(IMF)energy and Hilbert–Huang spectrum between the spout zone and annulus zone under different combinations of spouted gas and fluidized gas flow rates for five typical flow *** energy distribution characteristics under different flow patterns are also *** Hilbert–Huang spectrum and IMF energy of pressure difference signals exhibit distinct variations in different zones as the flow pattern ***,there exists a correlation between the energy in the middle-frequency range and the flow *** the K-means algorithm,the middle-frequency range energy of IMFs in the spout zone and annulus zone is subjected to clustering analysis,leading to the identification of partition boundaries for each flow *** on this,a flow pattern identification method of spouted fluidized bed coupled with middle-frequency range energy in spout zone and annulus zone is proposed,which has very high identification accuracy.
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