System identification
Online Mass Flow Prediction in CFB Boilers
ICDM '09 Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects
Handling outliers and concept drift in online mass flow prediction in CFB boilers
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data
Online mass flow prediction in CFB boilers with explicit detection of sudden concept drift
ACM SIGKDD Explorations Newsletter
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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.