摘要
本文描述了一种用于两种成份的流体成像的１２电极电容层析成像新方法．该方法基于电路的网络理论，首先对重建区域假定一个介电率分布，用电容网络作为离散化模型，将每一个源电极和探测电极对组成的测量电路看作一个四端网络，该四端网络的跨导与源电极和探测电极之间的电容值是线性关系，这个电容值和测量得到的电容值之间存在误差，根据这个误差对修正介电率分布．通过对不同介质分布作的模拟实验结果，证实了该算法是有效的，收敛的．
This paper describes a reconstructive algorithm which is based on network theory for electrical capacitance tomography technic.There are twelve electrodes in the system. The permittivity distribution of flow with two components within a pipeline is reconstructed. Assume the permittivity distribution of the region to be reconstructed. Then whole measured area is discretized into a network composed of capacitance. The measurement circuit which contains a Pair of source electrode and detecting electrode is taken as a four-terminal network. The across admittance of the four-teminal network is proportional to the capacitance between the source electrode and the detecting electrode. Modify the distribution of the permittivity according to the difference between the calculated capacitance and measured capacitance.The experimental results show that this algorithm is effective and can coverge.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2000年第1期30-34,共5页
Acta Electronica Sinica
基金
国家自然科学基金
关键词
电容层析成像
电容网络
电路网络
capactiance tomography
capacitance network
node admittance
node admittance matrix
