DocumentCode
702513
Title
Data mining can help human supervisory control of critical complex industrial systems
Author
Li, K. ; Thompson, S. ; Peng, J. ; Chen, Xinghn
Author_Institution
Intelligent Systems and Control Group, School of Electrical and Electronic Engineering, Queen´s University Belfast, Ashby Building, Stranmillis Rd., Belfast BT9 5AH, UK
fYear
2003
fDate
1-4 Sept. 2003
Firstpage
3407
Lastpage
3412
Abstract
The problem of data overload in supervisory control of critical complex industrial systems is addressed. As a solution data mining has been shown as an effective tool to help human supervisory control of a coal-fired power generation plant in reducing pollutant emissions.
Keywords
Boilers; Combustion; Data mining; Data models; Furnaces; Power generation; Software; Critical systems; Data mining; Data overload; Human supervisory control; Power plant emissions;
fLanguage
English
Publisher
ieee
Conference_Titel
European Control Conference (ECC), 2003
Conference_Location
Cambridge, UK
Print_ISBN
978-3-9524173-7-9
Type
conf
Filename
7086567
Link To Document