| 水泥熟料质量指标的软测量建模研究 |
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| 引用本文： | 王卓,苑明哲,王宏,王天然.水泥熟料质量指标的软测量建模研究[J].化工自动化及仪表,2006,33(6):53-54,58. |
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| 作者姓名： | 王卓 苑明哲 王宏 王天然 |
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| 作者单位： | 1. 中国科学院,沈阳自动化研究所,沈阳,110016;中国科学院,研究生院,北京,100039
2. 中国科学院,沈阳自动化研究所,沈阳,110016 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 针对水泥熟料质量指标的测量,提出一种基于最小二乘支持向量机的软测量建模方法;对于建模数据,提出了基于模糊聚类的数据预处理方法.实验研究表明,该数据预处理方法明显优于传统的拉依达准则方法,能够有效地去除现场测量数据中存在的异常数据;最小二乘支持向量机建模相比于RBF神经网络也具有明显优势,建立的软测量模型对于整个窑系统优化控制具有重要意义.
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| 关 键 词： | 熟料质量 软测量 模糊聚类 拉依达准则 最小二乘支持向量机 |
| 文章编号： | 1000-3932（2006）06-0053-02 |
| 收稿时间： | 2006-09-06 |
| 修稿时间： | 2006-09-06 |
Studies on Soft-sensor Modeling for the Quality Index of Cement Clinker |
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| WANG Zhuo,YUAN Ming-zhe,WANG Hong,WANG Tian-ran.Studies on Soft-sensor Modeling for the Quality Index of Cement Clinker[J].Control and Instruments In Chemical Industry,2006,33(6):53-54,58. |
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| Authors: | WANG Zhuo YUAN Ming-zhe WANG Hong WANG Tian-ran |
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| Affiliation: | 1. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China ; 2. Graduate School of the Chinese Academy of Sciences ,Beijing 100039, China |
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| Abstract: | Aiming at the measure of cement clinker quality index,a soft-sensor modeling method is presented based on least square support vector machine(LSSVM).Then a data preprocessing method is proposed based on fuzzy cluster.The experiments show that the data preprocessing method is superior to traditional Pauta criterion,because this method can eliminate effectively exceptional data in the actual measurement data.In addition,the LSSVM-based soft sensor also has more obvious advantage than the RBFNN-based soft sensor,and the soft-sensor modeling is of important significance for the optimal control of the whole kiln system. |
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| Keywords: | clinker quality soft sensor fuzzy cluster Pauta criterion LSSVM |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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