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Mathematical Problems in Engineering
Volume 2014 (2014), Article ID 504086, 8 pages
Research Article

Model-Based Water Wall Fault Detection and Diagnosis of FBC Boiler Using Strong Tracking Filter

State Key Lab of Power System, Department of Thermal Engineering, Tsinghua University, Beijing 100083, China

Received 21 February 2014; Accepted 17 March 2014; Published 28 April 2014

Academic Editor: Zhijun Zhang

Copyright © 2014 Li Sun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Fluidized bed combustion (FBC) boilers have received increasing attention in recent decades. The erosion issue on the water wall is one of the most common and serious faults for FBC boilers. Unlike direct measurement of tube thickness used by ultrasonic methods, the wastage of water wall is reconsidered equally as the variation of the overall heat transfer coefficient in the furnace. In this paper, a model-based approach is presented to estimate internal states and heat transfer coefficient dually from the noisy measurable outputs. The estimated parameter is compared with the normal value. Then the modified Bayesian algorithm is adopted for fault detection and diagnosis (FDD). The simulation results demonstrate that the approach is feasible and effective.