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Received:March 10, 2011 Revised:April 16, 2011
Received:March 10, 2011 Revised:April 16, 2011
中文摘要: 提出了一种基于CHMM 的工业回转窑喂煤量变化趋势预测的辅助控制系统方法。采用PCA 方法对现场采集的数据进行主成分分析方法进行数据降维,并以主元特征序列作为CHMM 模型的观测序列。最后,采用回转窑现场热工数据作为实验数据进行喂煤量变化趋势仿真试验,并以此来实现对专家系统的辅助控制,试验结果表明该方法是有效的。
Abstract:A CHMM-based trend prediction method of kiln feeding coal is presented in this paper. PCA was employed to extract features of time series by reducing the correlated variables to principal components. The specific data of the rotary kiln thermal data has been used as experiment data. And use it as an aid-control to expert system. Simulation and experimental results show that the proposed method is feasible.
keywords: HMM time sequences coal feeding prediction PCA Kiln
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基金项目:国家自然科学基金(60634020)
引用文本：
林祈元,张小刚,赵晶晶.一种基于CHMM的回转窑喂煤量变化趋势预测方法.计算机系统应用,2011,20(11):158-161,145
LIN Qi-Yuan,ZHANG Xiao-Gang,ZHAO Jing-Jing.A CHMM-Based Coal Kiln Feeding Trend Prediction Method.COMPUTER SYSTEMS APPLICATIONS,2011,20(11):158-161,145
林祈元,张小刚,赵晶晶.一种基于CHMM的回转窑喂煤量变化趋势预测方法.计算机系统应用,2011,20(11):158-161,145
LIN Qi-Yuan,ZHANG Xiao-Gang,ZHAO Jing-Jing.A CHMM-Based Coal Kiln Feeding Trend Prediction Method.COMPUTER SYSTEMS APPLICATIONS,2011,20(11):158-161,145
