Real-time mass flow estimation in circulating fluidized bed

A. Ivannikov, Mikko Jegoroff, T. Kärkkäinen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-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 languageEnglish
Title of host publicationProceedings
Subtitle of host publicationAdvances in Data Mining. Applications and Theoretical Aspects, ICDM 2012
EditorsPetra Perner
Place of PublicationBerlin, Heidelberg
Pages103-112
ISBN (Electronic)978-3-642-31488-9
DOIs
Publication statusPublished - 2012
MoE publication typeNot Eligible
Event12th Industrial Conference on Advances in Data Mining, ICDM 2012 - Berlin, Germany
Duration: 13 Jul 201220 Jul 2012

Publication series

SeriesLecture Notes in Computer Science
Volume7377
ISSN0302-9743

Conference

Conference12th Industrial Conference on Advances in Data Mining, ICDM 2012
Abbreviated titleICDM 2012
CountryGermany
CityBerlin
Period13/07/1220/07/12

Fingerprint

Fluidized beds
Identification (control systems)

Keywords

  • CFB
  • control
  • estimation
  • mass flow
  • system identification

Cite this

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 (pp. 103-112). Berlin, Heidelberg. Lecture Notes in Computer Science, Vol.. 7377 https://doi.org/10.1007/978-3-642-31488-9_9
Ivannikov, A. ; Jegoroff, Mikko ; Kärkkäinen, T. / Real-time mass flow estimation in circulating fluidized bed. Proceedings: Advances in Data Mining. Applications and Theoretical Aspects, ICDM 2012. editor / Petra Perner. Berlin, Heidelberg, 2012. pp. 103-112 (Lecture Notes in Computer Science, Vol. 7377 ).
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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 proceedingConference article in proceedingsScientificpeer-review

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Ivannikov A, Jegoroff M, Kärkkäinen T. Real-time mass flow estimation in circulating fluidized bed. In Perner P, editor, Proceedings: Advances in Data Mining. Applications and Theoretical Aspects, ICDM 2012. Berlin, Heidelberg. 2012. p. 103-112. (Lecture Notes in Computer Science, Vol. 7377 ). https://doi.org/10.1007/978-3-642-31488-9_9