Journal
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume 2, Issue 3, Pages 176-184Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2006.873598
Keywords
combustion efficiency; data mining; nonstationary process; process control; temporal data mining
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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 performing live testing, which is expensive and time consuming. The ideas introduced in this paper are illustrated with an industrial case study.
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