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基于SVM和ECT的两相流离散相浓度测量
引用本文:彭珍瑞,殷红,祁文哲.基于SVM和ECT的两相流离散相浓度测量[J].自动化与仪器仪表,2008(2):72-74.
作者姓名:彭珍瑞  殷红  祁文哲
作者单位:兰州交通大学机电工程学院,兰州,730070
基金项目:甘肃省自然科学基金(编号:3ZS062-B25-016),兰州交通大学“青蓝”人才资助项目
摘    要:利用12电极电容层析成像系统(ECT)传感器和最小二乘支持向量机(LS-SVM),提出了两相流离散相浓度测量的新方法。电容传感器用来获取反应离散相分布的66个电容测量值。LS-SVM用来建立离散相浓度测量模型,模型的输入是66个独立的电容值,输出是离散相浓度值。本方法省去了传统ECT技术测量浓度时的图像重建过程。实验结果表明:该方法是有效的,测量误差在6%以内。

关 键 词:两相流  最小二乘支持向量机  浓度  电容
文章编号:1001-9227(2008)02-0072-03
修稿时间:2007年9月26日

ECT and SVM based concentration measurement of two-phase flow
PENG-Zhen-rui YIN Hong QI Wen-zhe.ECT and SVM based concentration measurement of two-phase flow[J].Automation & Instrumentation,2008(2):72-74.
Authors:PENG-Zhen-rui YIN Hong QI Wen-zhe
Affiliation:PENG-Zhen-rui YIN Hong QI Wen-zhe
Abstract:Based on 12-electrode Electrical Capacitance Tomography (ECT) sensor and Least Squares Support Vector Machine (LS-SVM),a new method for phase concentration measurement of two-phase flow was proposed. ECT sensor was used to obtain the 66 capacitance values,which reflected the phase distribution.LS-SVM was applied to establish the model for phase concentration measurement of two-phase flow.In this model,66 capacitance values were the inputs and the concentration was the output.This new method implemented direct concentration measurement of two-phase flow without the need of time-consuming image reconstruction.The experimental results show that it is effective and the measurement error is within 6%.
Keywords:Two-phase flow  Least Squares Support Vector Machine (LS-SVM)  Concentration  Electrical capacitance
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