DocumentCode :
498958
Title :
Study on the fuzzy mathematics model for the comprehensive judgment of slagging characteristics of utility boilers
Author :
Wang, Jun
Author_Institution :
Coll. of Energy & Eng., North China Electr. Power Univ., Baoding, China
Volume :
2
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
833
Lastpage :
838
Abstract :
This paper is to introduce the fuzzy clustering and fuzzy comprehensive judgment methods to establish the evaluation models for predicting the slagging tendency of some power plants in Hebei Province. Three nonconventional slagging indexes such as the non-dimensional diameter of tangential flow circle, the non-dimensional furnace temperature and excessive air, corresponding to the boiler aerodynamic field, furnace temperature and the slagging on the local climate condition, are combined with the four conventional indexes of coal properties to describe the slagging conditions for this models.
Keywords :
boilers; fuzzy set theory; power engineering computing; power plants; power system management; fuzzy clustering; fuzzy comprehensive judgment; fuzzy mathematics; power plants; slagging characteristics; utility boilers; Ash; Boilers; Furnaces; Machine learning; Mathematical model; Mathematics; Predictive models; Slag; Temperature; Water heating; Boiler; Fuzzy clustering; Fuzzy comprehensive judgment; Slagging prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212370
Filename :
5212370
Link To Document :
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