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催化剂颗粒浓度在线检测系统的研究与开发
引用本文:段中兴,邵必林.催化剂颗粒浓度在线检测系统的研究与开发[J].计算机工程与设计,2008,29(17).
作者姓名:段中兴  邵必林
作者单位:1. 西安建筑科技大学,信息与控制工程学院,陕西,西安,710055
2. 西安建筑科技大学,管理学院,陕西,西安,710055
基金项目:国家自然科学基金,陕西省教育厅资助项目
摘    要:基于Mie光散射理论,开发了石油炼化装置烟气催化剂颗粒浓度在线检测系统,采用了基于最小二乘支持向量机(least square support vector machine,LS-SVM)的软测量技术.利用LS-SVM优良的非线性映射和强大的泛化能力,建立了颗粒浓度的软测量模型,通过LS-SVM的学习和支持向量的自适应更新,实现催化剂颗粒浓度的最佳估计.仿真和实际运行结果表明所开发的监测系统可对烟气催化剂颗粒浓度进行有效测量,其测量精度比经验公式提高4.2倍.

关 键 词:最小二乘支持向量机  软测量  催化剂粉尘浓度  光散射法

Research and development of catalyzer particle concentration measurement system based on laser light scattering
DUAN Zhong-xing,SHAO Bi-lin.Research and development of catalyzer particle concentration measurement system based on laser light scattering[J].Computer Engineering and Design,2008,29(17).
Authors:DUAN Zhong-xing  SHAO Bi-lin
Abstract:A on-line measurement system based on Mie light scattering theory is developed for measuring the catalyzer particle concen-tration of the flue gas flow in oil refining equipment.Compare with the common catalyzer particle concentration measurement system with empirical formula used in other systems,a soft measuring technology based on least square support vector machine(LS-SVM),which has better nonlinear approximation and generalization capability,is adopted to establish the soft measuring model between the ...
Keywords:least square support vector machine  soft measuring  catalyzer particle concentration  light scattering method  
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