化工学报2012，Vol.63Issue(12)：3951-3955,5.DOI:10.3969/j.issn.0438-1157.2012.12.030
基于FCM聚类的气化炉温度多模型软测量建模
A soft sensor multi-modeling for furnace temperature of gasifier based FCM clustering
摘要
Abstract
Coal-water slurry gasification is a very important technology in developing clean and efficient use of coal. Gasifier furnace temperature is one of the key variables which is closely related to the process safety,stability and long-term operation of the gasification. Thermocouple elements are easily ruined under complex industrial condition with high temperature,high pressure and high flow erosion. Thus it is difficult to maintain a long period of work. In this paper,aiming at an opposed multi-burner coal-water slurry gasification process,adopting fuzzy C-means clustering based multi-modeling method and least square support vector machines,a gasifier temperature soft sensor model is established. The actual operation's validation results show that the predictive temperature of the furnace based on this soft sensor model has a pretty good predictive precision and generalization ability.关键词
水煤浆气化/模糊C均值聚类/最小二乘支持向量机/多模型/软测量建模Key words
coal-water slurry gasification/fuzzy C-means clustering/least square support vector machines/multi-modeling/soft sensor modeling分类
化学化工引用本文复制引用
钟伟民,李杰,程辉,孔祥东,钱锋..基于FCM聚类的气化炉温度多模型软测量建模[J].化工学报,2012,63(12):3951-3955,5.基金项目
国家自然科学基金项目重点基金(U1162202) （U1162202）
国家高技术研究发展计划项目(2012AA040307) （2012AA040307）
国家自然科学基金项目(61174118) （61174118）
浙江省公益科技项目(2011C21077) （2011C21077）
上海市基础研究重点项目(10JC1403400). （10JC1403400）
