DocumentCode
2087316
Title
Novel Strategies for Process Monitoring in Power Plant and Their Comparisons
Author
Su, Zhi-gang ; Wang, Pei-hong
Author_Institution
Sch. of Energy & Environ., Southeast Univ., Nanjing, China
fYear
2010
fDate
28-31 March 2010
Firstpage
1
Lastpage
4
Abstract
In practice engineering, some process parameters, which are pivotal to enhance the product ability, can not be monitored online and offline. In this paper, two methods are proposed for monitoring the so-called unmeasured parameters such as level of coal powder in power plant. The first model is nonlinear PLS model based on precise training samples, and the second one is evidential soft sensor model based on imprecise training samples. The results of these two methods are compared.
Keywords
process monitoring; steam power stations; coal powder level; imprecise training samples; nonlinear PLS model; power plant; precise training samples; process monitoring; soft sensor model; Accelerometers; Ball milling; Condition monitoring; Filling; Milling machines; Powders; Power generation; Power system modeling; Shafts; Vibrations;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location
Chengdu
Print_ISBN
978-1-4244-4812-8
Electronic_ISBN
978-1-4244-4813-5
Type
conf
DOI
10.1109/APPEEC.2010.5448200
Filename
5448200
Link To Document