Combustion efficiency optimization and virtual testing: a data-mining approach

Abstract

In this paper, a data-mining approach is applied to optimize combustion efficiency of a coal-fired boiler. The combustion process is complex, nonlinear, and nonstationary. A virtual testing procedure is developed to validate the results produced by the optimization methods. The developed procedure quantifies improvements in the combustion efficiency without… (More)
DOI: 10.1109/TII.2006.873598

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Cite this paper

@article{Kusiak2006CombustionEO, title={Combustion efficiency optimization and virtual testing: a data-mining approach}, author={Andrew Kusiak and Zhe Song}, journal={IEEE Transactions on Industrial Informatics}, year={2006}, volume={2}, pages={176-184} }