Referenced Items are not available for this document.
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
Published in:
Industrial Informatics, IEEE Transactions on
(Volume:2
,
Issue:
3
)
Date of Publication: Aug. 2006
- Page(s):
- 176 - 184
- ISSN :
- 1551-3203
- INSPEC Accession Number:
- 9032177
- Digital Object Identifier :
- 10.1109/TII.2006.873598
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 07 August 2006
- Issue Date :
- Aug. 2006
- Sponsored by :
- IEEE Computer Society
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