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
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;
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
DOI :
10.1109/ICIECS.2009.5366409
