A Novel Model Variable Selection Method Based on Energy Variation and Its Application to Predictive Modeling for Achromic Power

摘要：

Achmoric power, one of the most important quality indices in a Lithopone calcination process, cannot be measured online economically, which is a similar problem many rotary kiln processes encounter. This paper talks about its predictive model by applying data modeling technique and focuses on the model variable selection. According to the Lithopone calcination mechanism, several schemes of model variable selection are discussed, and the one based on energy variation which mixes the information of calcinating temperature and calcinating duration together is chosen at last. To calculate the energy absorbed by the material, Unit Energy is introduced, which offers a convenient expression in the form of relative value. Using this novel model variable selection method, the model structure is simplified, which has an advantage in model efficiency. A predictive model for achmoric power is obtained in the next step by least square support vector machines method, and the simulation result shows its promising performance.

关键词： model variable selection achromic power calcination process energy variation least square supportvector machines.

作者: Qiliang Du Hongqiang Mo Lianfang Tian Ling Yuan

作者单位: School of Electronic and Information Engineering,South China University of Technology,Guangzhou,Chin College of Automation Science and Engineering,South China University of Technology,Guangzhou,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 3992-3996

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）