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CLC number: TQ051.1

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Received: 2008-09-24

Revision Accepted: 2008-12-01

Crosschecked: 2009-07-08

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Journal of Zhejiang University SCIENCE A 2009 Vol.10 No.9 P.1341-1349


Wall sheeting diagnosis in fluidized beds based on chaos analysis of acoustic emission signals

Author(s):  Yi-jia CAO, Jing-dai WANG, Wei LIU, Yong-rong YANG

Affiliation(s):  State Key Laboratory of Chemical Engineering, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   wangjd@zju.edu.cn

Key Words:  Acoustic emission (AE), Fluidized bed, Malfunction coefficient, Agglomeration, Chaos

Yi-jia CAO, Jing-dai WANG, Wei LIU, Yong-rong YANG. Wall sheeting diagnosis in fluidized beds based on chaos analysis of acoustic emission signals[J]. Journal of Zhejiang University Science A, 2009, 10(9): 1341-1349.

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author="Yi-jia CAO, Jing-dai WANG, Wei LIU, Yong-rong YANG",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Wall sheeting diagnosis in fluidized beds based on chaos analysis of acoustic emission signals
%A Yi-jia CAO
%A Jing-dai WANG
%A Wei LIU
%A Yong-rong YANG
%J Journal of Zhejiang University SCIENCE A
%V 10
%N 9
%P 1341-1349
%@ 1673-565X
%D 2009
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A0820677

T1 - Wall sheeting diagnosis in fluidized beds based on chaos analysis of acoustic emission signals
A1 - Yi-jia CAO
A1 - Jing-dai WANG
A1 - Wei LIU
A1 - Yong-rong YANG
J0 - Journal of Zhejiang University Science A
VL - 10
IS - 9
SP - 1341
EP - 1349
%@ 1673-565X
Y1 - 2009
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A0820677

A novel method, based on acoustic emission (AE) techniques, for detecting agglomeration in fluidized beds is presented. Particle size characteristics are determined based on the principle that AE signals with different frequency band energies are emitted when particles of different sizes impact an internal wall. By applying chaotic analysis to the AE signals, the malfunction coefficients are well defined. agglomeration in the fluidized bed can then be detected by the sudden variation of malfunction coefficients. AE signals were investigated in a laboratory scale heated fluidized bed and an industrial polyethylene fluidized bed. Experimental data showed that the malfunction coefficients increased with the growth of agglomeration. The results indicated that agglomeration in fluidized beds can be predicted and diagnosed effectively and precisely using AE techniques based on chaotic analysis.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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