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
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;
Conference_Titel :
European Control Conference (ECC), 2003
Conference_Location :
Cambridge, UK
Print_ISBN :
978-3-9524173-7-9
