Study on the state of slag on coal-fired boilers based on symmetric fuzzy cross entropy and vague sets

Author

Wen, Xiaoqiang ; Xu, Zhiming ; Zheng, Jiaoli ; Zhao, Yongping

Author_Institution

Sch. of Energy Resources & Mech. Eng., Northeast Dianli Univ., Jilin, China

fYear

2010

fDate

20-23 June 2010

Firstpage

1769

Lastpage

1774

Abstract

A prediction model is built to predict the state of slag on coal-fired boilers based on the theory of symmetric fuzzy cross entropy and vague sets. 10 boilers were selected as known-slagging samples and 6 boilers as samples to be predicted. Softening temperature, SiO₂-Al₂O₃ ratio, Alkali-acid ratio, silicon percentage of value, the dimensionless average furnace temperature and the dimensionless inscribed circle diameter furnace were selected as input vectors. Firstly, the vague sets of known and unknown-slagging samples were built based on vague sets theory, and then the similarity degree was evaluated based on symmetric fuzzy cross entropy. The feasibility of this method was proved by the results of predicting the state of slag on the 6 coal-fired boilers. Besides, the impact of parameter p in the similarity formula was discussed.

Keywords

boilers; entropy; set theory; temperature control; Alkali-acid ratio; SiO₂-Al₂O₃ ratio; circle diameter furnace; coal-fired boilers; dimensionless average furnace temperature; silicon percentage; similarity degree; slag state; slagging samples; softening temperature; symmetric fuzzy cross entropy; vague sets theory; Boilers; Entropy; Furnaces; Fuzzy set theory; Fuzzy sets; Predictive models; Silicon; Slag; Softening; Temperature; coal-fired boilers; prediction; slagging; symmetric fuzzy cross entropy; vague sets;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Automation (ICIA), 2010 IEEE International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-5701-4

Type

conf

DOI

10.1109/ICINFA.2010.5512214

Filename

5512214