DocumentCode
2867060
Title
Data Mining in Conditions Analysis at a Coal-Fired Utility Boiler
Author
Liu Guangming ; Liu BaoLing ; He Jun
Author_Institution
Dept. of Electr. & Electron. Eng., Nanchang Inst. of Technol., Nanchang, China
fYear
2009
fDate
19-20 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
The Supervisory Information System (SIS) is widely installed in power plant of more than 300 MW. Its massive data contains valuable information and resources which requires further excavation. In this paper a way of working conditions analysis based on cluster-based data mining algorithm is explored and experimented to SIS. The results illustrate that the way can identify and analyze the working conditions very well.
Keywords
boilers; data mining; pattern clustering; power engineering computing; power plants; cluster based data mining algorithm; coal fired utility boiler; power plant; supervisory information system; working conditions analysis; Algorithm design and analysis; Boilers; Clustering algorithms; Data analysis; Data engineering; Data mining; Databases; Employee welfare; Information analysis; Power generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4994-1
Type
conf
DOI
10.1109/ICIECS.2009.5366409
Filename
5366409
Link To Document