Online Mass Flow Prediction in CFB Boilers

Authors:
Andriy Ivannikov;Mykola Pechenizkiy;Jorn Bakker;Timo Leino;Mikko Jegoroff;Tommi Kärkkäinen;Sami Äyrämö
Affiliations:
Department of Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands NL-5600 and Department of Mathematical Information Technology, University of Jyväskylä, Jyv ...;Department of Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands NL-5600;Department of Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands NL-5600;Technical Research Centre of Finland, VTT, Jyväskylä, Finland FIN-40101;Technical Research Centre of Finland, VTT, Jyväskylä, Finland FIN-40101;Department of Mathematical Information Technology, University of Jyväskylä, Jyväskylä, Finland FIN-40014;Department of Mathematical Information Technology, University of Jyväskylä, Jyväskylä, Finland FIN-40014
Venue:
ICDM '09 Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects
Year:
2009

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Abstract

Fuel feeding and inhomogeneity of fuel typically cause process fluctuations in the circulating fluidized bed (CFB) process. If control systems fail to compensate for the fluctuations, the whole plant will suffer from fluctuations that are reinforced by the closed-loop controls. This phenomenon causes a reduction of efficiency and lifetime of process components. Therefore, domain experts are interested in developing tools and techniques for getting better understanding of underlying processes and their mutual dependencies in CFB boilers. In this paper we consider an application of data mining technology to the analysis of time series data from a pilot CFB reactor. Namely, we present a rather simple and intuitive approach for online mass flow prediction in CFB boilers. This approach is based on learning and switching regression models. Additionally, noise canceling, and windowing mechanisms are used for improving the robustness of online prediction. We validate our approach with a set of simulation experiments with real data collected from the pilot CFB boiler.