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.
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References
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Ivannikov, A., Jegoroff, M., Kärkkäinen, T. (2012). Real-Time Mass Flow Estimation in Circulating Fluidized Bed. In: Perner, P. (eds) Advances in Data Mining. Applications and Theoretical Aspects. ICDM 2012. Lecture Notes in Computer Science(), vol 7377. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31488-9_9
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DOI: https://doi.org/10.1007/978-3-642-31488-9_9
Publisher Name: Springer, Berlin, Heidelberg
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