Study on the State of Slag on Coal-fired Boilers Based on Symmetric Fuzzy Cross Entropy and Vague Sets

摘要：

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 knownslagging 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.

关键词： coal-fired boilers symmetric fuzzy cross entropy vague sets slagging prediction

作者: Xiaoqiang Wen Zhiming Xu Jiaoli Zheng Yongping Zhao

作者单位: School of Energy Resources and Mechanical EngineeringNortheast Dianli UniversityJilin 132012,Jilin P School of Energy Resources and Mechanical EngineeringNortheast Dianli UniversityJilin 132012,Jilin P School of Energy Resources and Mechanical Engineering Northeast Dianli University Jilin 132012,Jilin

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-6

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）