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文章摘要
电容层析成像系统自适应电容归一化模型研究*
Research on adaptive capacitance normalization model for electrical capacitance tomography system
Received:July 02, 2018  Revised:July 02, 2018
DOI:10.19753/j.issn1001-1390.2019.020.007
中文关键词: 电容层析成像  图像重建  电容归一化  自适应归一化  中心电场线
英文关键词: electrical capacitance tomography  image reconstruction  capacitance normalization  adaptive normalization model  electrical field centre line
基金项目:国家自然科学基金项目
Author NameAffiliationE-mail
ZHANG Lifeng Department of Automation,North China Electric Power University lifeng.zhang@ncepu.edu.cn 
SONG Yajie* Department of Automation,North China Electric Power University ncepu_songyajie@163.com 
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中文摘要:
      电容层析成像(ECT)系统中,电容测量转换电路获得的数据必须经过归一化处理,才能使用重建算法进行图像重建。在并联、串联归一化模型的基础上,利用并联、串联模型的数学关系提出了自适应归一化模型函数关系。模型的自适应因子根据中心电场线(EFCL)划分的两个区域中单元到中心电场线的最小距离与最大距离的比值来计算,仿真及实验结果表明基于该模型的重建图像质量优于并联及串联模型。
英文摘要:
      Proper normalization of the measured capacitance data is a prerequisite in electrical capacitance tomography (ECT). The adaptive normalization model function relationship is proposed by using the mathematical relationship between parallel and series models in this paper. The factor of adaptive model is calculated based on the ratio of the minimum distance to the maximum distance from the unit to the electrical field centre line (EFCL) in the two regions divided by the electric field centre line. Simulation and experiments results show that the reconstructed image quality of this model is better than parallel and series model.
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