Real-time mass flow estimation in circulating fluidized bed

A. Ivannikov; Mikko Jegoroff; T. Kärkkäinen

doi:10.1007/978-3-642-31488-9_9

Real-time mass flow estimation in circulating fluidized bed

A. Ivannikov, Mikko Jegoroff, T. Kärkkäinen

University of Jyväskylä

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

The mass flow parameter identification is important for modeling and control purposes in Circulating Fluidized Bed technology. In this article we propose a novel method for estimating the mass flow in the Circulating Fluidized Bed and consider aspects of its application. The method is based on combining information obtained from both mass of fuel silo and velocity of fuel screw signals. The information from mass of fuel silo measurements is extracted by following the lower edge of the signal

Original language	English
Title of host publication	Proceedings
Subtitle of host publication	Advances in Data Mining. Applications and Theoretical Aspects, ICDM 2012
Editors	Petra Perner
Place of Publication	Berlin, Heidelberg
Pages	103-112
ISBN (Electronic)	978-3-642-31488-9
DOIs	https://doi.org/10.1007/978-3-642-31488-9_9
Publication status	Published - 2012
MoE publication type	Not Eligible
Event	12th Industrial Conference on Advances in Data Mining, ICDM 2012 - Berlin, Germany Duration: 13 Jul 2012 → 20 Jul 2012

Publication series

Series	Lecture Notes in Computer Science
Volume	7377
ISSN	0302-9743

Conference

Conference	12th Industrial Conference on Advances in Data Mining, ICDM 2012
Abbreviated title	ICDM 2012
Country/Territory	Germany
City	Berlin
Period	13/07/12 → 20/07/12

Keywords

CFB
control
estimation
mass flow
system identification

Access to Document

10.1007/978-3-642-31488-9_9

Cite this

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title = "Real-time mass flow estimation in circulating fluidized bed",

abstract = "The mass flow parameter identification is important for modeling and control purposes in Circulating Fluidized Bed technology. In this article we propose a novel method for estimating the mass flow in the Circulating Fluidized Bed and consider aspects of its application. The method is based on combining information obtained from both mass of fuel silo and velocity of fuel screw signals. The information from mass of fuel silo measurements is extracted by following the lower edge of the signal",

keywords = "CFB, control, estimation, mass flow, system identification",

author = "A. Ivannikov and Mikko Jegoroff and T. K{\"a}rkk{\"a}inen",

year = "2012",

doi = "10.1007/978-3-642-31488-9_9",

language = "English",

isbn = "978-3-642-31487-2",

series = "Lecture Notes in Computer Science",

publisher = "Springer Science+Business Media",

pages = "103--112",

editor = "Petra Perner",

booktitle = "Proceedings",

note = "12th Industrial Conference on Advances in Data Mining, ICDM 2012, ICDM 2012 ; Conference date: 13-07-2012 Through 20-07-2012",

}

Ivannikov, A, Jegoroff, M & Kärkkäinen, T 2012, Real-time mass flow estimation in circulating fluidized bed. in P Perner (ed.), Proceedings: Advances in Data Mining. Applications and Theoretical Aspects, ICDM 2012. Berlin, Heidelberg, Lecture Notes in Computer Science, vol. 7377 , pp. 103-112, 12th Industrial Conference on Advances in Data Mining, ICDM 2012, Berlin, Germany, 13/07/12. https://doi.org/10.1007/978-3-642-31488-9_9

Real-time mass flow estimation in circulating fluidized bed. / Ivannikov, A.; Jegoroff, Mikko; Kärkkäinen, T.
Proceedings: Advances in Data Mining. Applications and Theoretical Aspects, ICDM 2012. ed. / Petra Perner. Berlin, Heidelberg, 2012. p. 103-112 (Lecture Notes in Computer Science, Vol. 7377 ).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Real-time mass flow estimation in circulating fluidized bed

AU - Ivannikov, A.

AU - Jegoroff, Mikko

AU - Kärkkäinen, T.

PY - 2012

Y1 - 2012

N2 - The mass flow parameter identification is important for modeling and control purposes in Circulating Fluidized Bed technology. In this article we propose a novel method for estimating the mass flow in the Circulating Fluidized Bed and consider aspects of its application. The method is based on combining information obtained from both mass of fuel silo and velocity of fuel screw signals. The information from mass of fuel silo measurements is extracted by following the lower edge of the signal

AB - The mass flow parameter identification is important for modeling and control purposes in Circulating Fluidized Bed technology. In this article we propose a novel method for estimating the mass flow in the Circulating Fluidized Bed and consider aspects of its application. The method is based on combining information obtained from both mass of fuel silo and velocity of fuel screw signals. The information from mass of fuel silo measurements is extracted by following the lower edge of the signal

KW - CFB

KW - control

KW - estimation

KW - mass flow

KW - system identification

U2 - 10.1007/978-3-642-31488-9_9

DO - 10.1007/978-3-642-31488-9_9

M3 - Conference article in proceedings

SN - 978-3-642-31487-2

T3 - Lecture Notes in Computer Science

SP - 103

EP - 112

BT - Proceedings

A2 - Perner, Petra

CY - Berlin, Heidelberg

T2 - 12th Industrial Conference on Advances in Data Mining, ICDM 2012

Y2 - 13 July 2012 through 20 July 2012

ER -

Real-time mass flow estimation in circulating fluidized bed

Abstract

Publication series

Conference

Keywords

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