A configurable electrical capacitance tomography system using a combining electrode strategy

被引:31
作者
Yang, Yunjie [1 ]
Peng, Lihui [1 ]
机构
[1] Tsinghua Univ, Dept Automat, Tsinghua Natl Lab Informat Sci & Technol, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
multi-phase flow; capacitance sensor; electrical capacitance tomography; image reconstruction; IMAGE-RECONSTRUCTION ALGORITHM; DESIGN; ECT; SIMULATIONS; SENSORS; LIQUID;
D O I
10.1088/0957-0233/24/7/074005
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Systematic investigation of a combining electrode strategy for electrical capacitance tomography (ECT) is carried out. A configurable digital and analogue mixed ECT system using a combining electrode strategy is presented. Compared to the traditional ECT system, the presented system can be configured flexibly as the traditional ECT sensor mode and the combining electrode mode by connecting a number of electrodes as a combined electrode. In particular, the combining electrode mode is increasing the number of capacitance measurement data and the amelioration of sensitivity distribution. An image reconstruction framework is proposed by configuring the presented ECT system as the corresponding sensor mode adaptive to the permittivity distribution to be reconstructed, which includes the traditional ECT sensor mode, the symmetric combining electrode mode, the asymmetric combining electrode mode and the mixed combining electrode mode. Both simulation and experimental results show that image reconstructions with better quality and robustness to measurement noise can be obtained under the proposed adaptive image reconstruction framework by using the presented configurable ECT system.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Application of electrical capacitance tomography in circulating fluidised beds - A review
    Wang, Haigang
    Yang, Wuqiang
    APPLIED THERMAL ENGINEERING, 2020, 176
  • [22] Fast Algorithm for Image Reconstruction in Adaptive Electrical Capacitance Tomography
    Zeeshan, Z.
    Teixeira, F. L.
    Marashdeh, Q. M.
    2016 IEEE SENSORS, 2016,
  • [23] Toward Water Volume Fraction Calculation in Multiphase Flows Using Electrical Capacitance Tomography Sensors
    Rasel, Rafiul K.
    Straiton, Benjamin
    Marashdeh, Qussai
    Teixeira, Fernando L.
    IEEE SENSORS JOURNAL, 2021, 21 (06) : 7702 - 7712
  • [24] Liquid material identification by using electrical capacitance tomography
    Li, N.
    Yang, X. D.
    Gong, Y.
    MATERIALS RESEARCH INNOVATIONS, 2015, 19 : S195 - S198
  • [25] A Faster Measurement Strategy of Electrical Capacitance Tomography Using Less Sensing Data
    Yang, Yunjie
    Jia, Jiabin
    McCann, Hugh
    2015 IEEE INTERNATIONAL CONFERENCE ON IMAGING SYSTEMS AND TECHNIQUES (IST) PROCEEDINGS, 2015, : 186 - 190
  • [26] Imaging irregular structures using electrical capacitance tomography
    Chen, Zhao
    Chen, Meng
    Wang, Jiangjiang
    Liu, Rongzheng
    Shao, Youlin
    Liu, Bing
    Tang, Yaping
    Liu, Malin
    Yang, Wuqiang
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2021, 32 (07)
  • [27] Measurement Strategy for Rectangular Electrical Capacitance Tomography Sensor
    Ye, Jiamin
    Ge, Ruihuan
    Qiu, Guizhi
    Wang, Haigang
    8TH INTERNATIONAL SYMPOSIUM ON MEASUREMENT TECHNIQUES FOR MULTIPHASE FLOWS, 2014, 1592 : 37 - 42
  • [28] SENSOR MODELING FOR PORTABLE ELECTRICAL CAPACITANCE TOMOGRAPHY SYSTEM USING SIMULATION BY COMSOL MULTIPHYSICS
    Mohamad, Elmy Johana
    Mohamed, Muhammad Afiq Zimam
    Rahim, Ruzairi Abdul
    Ling, Leow Pei
    Rahiman, Mohd. Hafiz Fazalul
    Abas, Khairul Hamimah
    Bunyamin, Salinda
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2012, 8 (10B): : 6999 - 7016
  • [29] Electrical Capacitance Volume Tomography: Design and Applications
    Wang, Fei
    Marashdeh, Qussai
    Fan, Liang-Shih
    Warsito, Warsito
    SENSORS, 2010, 10 (03) : 1890 - 1917
  • [30] Optimized design and simulation of electrical capacitance sensor for electrical capacitance tomography system
    Chen, DY
    Zheng, GB
    Yang, CJ
    Yu, XY
    JAVA/JINI TECHNOLOGIES AND HIGH-PERFORMANCE PERVASIVE COMPUTING, 2002, 4863 : 138 - 142