Target Values of Combustion Optimization in Coal Fire Boiler Based on Data Mining

Wen Huan Wang; Wei Guo Pan; Ming Fu He; Bing Chao Pan; Yi Qiong Pan; Guo Xin Hu

doi:10.4028/www.scientific.net/AMR.608-609.1143

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 608-609Target Values of Combustion Optimization in Coal...

Target Values of Combustion Optimization in Coal Fire Boiler Based on Data Mining

Abstract:

In this paper, K-means clustering algorithm of data mining technology is applied to determine the targeted value. The historical operation data of 600MW unit boiler are studied to determine the boiler combustion optimization target values of different conditions. The normalized method is used for handling data, directly reflects the position of operation target value in the whole parameter range, provides guide for boiler combustion optimization.

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Periodical:

Advanced Materials Research (Volumes 608-609)

Pages:

1143-1146

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.608-609.1143

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Online since:

December 2012

Authors:

Wen Huan Wang, Wei Guo Pan, Ming Fu He, Bing Chao Pan, Yi Qiong Pan, Guo Xin Hu

Keywords:

Clustering, Combustion Optimization, Data Mining (DM), Power Plant Boiler

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