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基于均匀设计和最小二乘支持向量机的电容层析成像传感器优化设计
引用本文:董向元,刘石,李惊涛,郭建民. 基于均匀设计和最小二乘支持向量机的电容层析成像传感器优化设计[J]. 应用基础与工程科学学报, 2006, 14(3): 396-402
作者姓名:董向元  刘石  李惊涛  郭建民
作者单位:1. 中原工学院能环学院,郑州,450007
2. 中国科学院工程热物理研究所,北京,100080
摘    要:提出一种采用均匀设计与最小二乘支持向量机相结合的电容层析成像传感器结构参数优化方法.该方法以敏感场均匀度为设计目标,采用均匀设计安排试验,试验因素包括ECT传感器的4个重要参数即:极板张角,绝缘管道材料相对介电常数,管道壁厚,以及屏蔽罩与电容极板间的间距.运用最小二乘支持向量机对试验结果进行回归分析,并用因素轮换法进行寻优计算,从而得出优化的传感器结构参数.结果表明:经过优化的电容成像系统具有较好的成像效果.该方法试验次数少,具有较强的实用性.

关 键 词:电容层析成像  优化设计  均匀设计  最小二乘支持向量机
文章编号:1005-0930(2006)03-0396-07
收稿时间:2005-09-01
修稿时间:2006-07-19

The Optimizing Design of Capacitance Tomography Sensors Based on Uniform Design and LS-SVM
DONG Xiangyuan,LIU Shi,LI Jingtao,GUO Jianmin. The Optimizing Design of Capacitance Tomography Sensors Based on Uniform Design and LS-SVM[J]. Journal of Basic Science and Engineering, 2006, 14(3): 396-402
Authors:DONG Xiangyuan  LIU Shi  LI Jingtao  GUO Jianmin
Affiliation:1. Department of Energy and Environment Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China; 2. Institute of Engineering Thermophysies, Chinese Academy of Sciences, Beijing 100080, China
Abstract:Uniform design and Least Square Support Vector Machines(LS-SVM) were applied to optimize design parameters of capacitance tomography sensors in this paper.Experiments were performed with uniform design:the spatial sensitivity distribution was taken as the performance parameter,and four key parameters:the radian of electrodes,the permittivity of insulating pipe material,the thickness of pipe wall and the distance between earthed screen and electrodes were used as experimental factors.LS-SVM was used to establish the regression model based on the experimental results.Then,a set of optimum parameters was obtained from the regression model by the factor rotation method.Simulation results indicate that the presented method in this paper can find a set of optimal parameters for capacitance tomography sensors efficiently and effectively.
Keywords:capacitance tomography    optimum design    uniform design    LS-SVM
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