首页|A new method for identifying flow pattern of spouted fluidized bed by coupling Hilbert-Huang transform characteristics of differential pressure signals in different zones

A new method for identifying flow pattern of spouted fluidized bed by coupling Hilbert-Huang transform characteristics of differential pressure signals in different zones

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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 patterns.The energy distribution characteristics under different flow patterns are also analyzed.The Hilbert-Huang spectrum and IMF energy of pressure difference signals exhibit distinct variations in different zones as the flow pattern changes.Moreover,there exists a correlation between the energy in the middle-frequency range and the flow pattern.Leveraging 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 pattern.Based 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.

Spouted fluidized bedFlow patternZoning signalFlow pattern transitionHilbert-Huang transform

Yongzhi Mei、Yang Wang、Lihui Zhang、Feng Duan

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School of Energy and Environment,Anhui University of Technology,Maanshan,243002,China

Wuhu Technology and Innovation Research Institute,Wuhu,241000,China

Wuhu Cigarette Factory of China Tobacco Anhui Industrial Co.,Ldt.,Wuhu,241002,China

国家转基因重大专项University Natural Science Research Project of Anhui Province,ChinaWuhu Technology and Innovation Research Institute FundAnhui Province University Excellent Talents Training Funding Project

2108085ME1612022AH050317RZ2300000872gxyqZD2021108

2024

10.1016/j.partic.2023.10.010

颗粒学报(英文版)
中国颗粒学会　中国科学院过程工程研究所

颗粒学报(英文版)

CSTPCD
影响因子：0.632
ISSN：1674-2001
年,卷(期)：2024.89(6)
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