DocumentCode
1753075
Title
The Grey-model of the Soft Sensing of Oxygen-content in Flue Gases of Coal-fired Power Plant
Author
Yang, Guangjun ; Liu, Jizhen ; Liu, Xiangjie ; Tan, Wen
Author_Institution
Dept. of Autom., North China Electr. Power Univ., Beijing
Volume
1
fYear
0
fDate
0-0 0
Firstpage
4904
Lastpage
4908
Abstract
A soft sensor grey-modeling considering the oxygen content in the coal-fired power plant is introduced. Experiments show that the grey-model has the evident advantages over the traditional multi-variation linear regressive and ANN models in predicting oxygen-content. Thus the grey-model based soft sensor is of important significance for the economical burning in the coal-fired power plant
Keywords
flue gases; grey systems; heat systems; neurocontrollers; steam power stations; coal-fired power plant; economical burning; flue gases; grey model; oxygen content; soft sensing; Automation; Economic forecasting; Flue gases; Gas detectors; Intelligent control; Neural networks; Power generation; Power generation economics; Predictive models; Reactive power; ANN; grey modeling; multi-variation linear regressive; oxygen content in flue gas; soft sensor;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location
Dalian
Print_ISBN
1-4244-0332-4
Type
conf
DOI
10.1109/WCICA.2006.1713317
Filename
1713317
Link To Document