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

Autor:	Yi Qiong Pan, Guo Xin Hu, Ming Fu He, Bing Chao Pan, Wen Huan Wang, Wei Guo Pan
Rok vydání:	2012
Předmět:	Engineering business.industry General Engineering Boiler (power generation) Coal fire Data mining Cluster analysis business computer.software_genre Combustion computer
Zdroj:	Advanced Materials Research. :1143-1146
ISSN:	1662-8985
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e4891e1af35d422c56b071d8474f44d4 https://doi.org/10.4028/www.scientific.net/amr.608-609.1143 Zobrazit plný text záznamu