Image Reconstruction Performance of a 12-Electrode CCERT Sensor Under Five Different Excitation Patterns

Xu, Zhen; Jiang, Yuexiang; Wang, Baoliang; Huang, Zhiyao; Ji, Haifeng; Li, Haiqing

doi:10.1109/access.2018.2878583

Cited by 8 publications

(5 citation statements)

References 36 publications

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“…The electrodes of the sensor are not in contact with the measured fluids, which can overcome the drawbacks of conventional electrical resistance measurement sensors (electrochemical erosion and polarization of the electrodes) [25][26][27][28][29][30][31]. The 12-electrode contactless resistivity array sensor is mainly used for tomography at the current stage [22][23][24]32]. Research concerning the void fraction measurement of gas-liquid two-phase flow with this array sensor is limited.…”

Section: Introductionmentioning

confidence: 99%

Void fraction measurement of gas–liquid two-phase flow with a 12-electrode contactless resistivity array sensor under different excitation patterns

Jiang

Wang

et al. 2020

Meas. Sci. Technol.

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This work focuses on the void fraction measurement of gas-liquid two-phase flow by a 12electrode contactless resistivity array sensor. A 12-electrode contactless resistivity array sensor, which can realize different excitation patterns, is developed. Five different excitation patterns (1-electrode excitation pattern, 2-electrode excitation pattern, 3-electrode excitation pattern, 4-electrode excitation pattern and 5-electrode excitation pattern) and three two-phase distributions (bubble flow, stratified flow and annular flow) are investigated. Two data processing approaches, the data average method and the principal component regression (PCR) method, are used to establish the void fraction measurement models and hence to implement the void fraction measurement. With the 12-electrode contactless resistivity array sensor, void fraction measurement experiments are carried out. Experimental results show that the void fraction measurement performances are different under different excitation patterns. Among the studied five different excitation patterns, the 5-electrode excitation pattern has the best void fraction measurement performance and the absolute values of void fraction measurement errors of the three two-phase distributions are all less than 5.0% (using data average method) and 3.0% (using PCR method). Research results indicate that the 5electrode excitation pattern + PCR combination is a new effective way to implement void fraction measurement of gas-liquid two-phase flow with the 12-electrode contactless resistivity array sensor.

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Section: Introductionmentioning

confidence: 99%

Void fraction measurement of gas–liquid two-phase flow with a 12-electrode contactless resistivity array sensor under different excitation patterns

Jiang

Wang

et al. 2020

Meas. Sci. Technol.

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“…For each part at each frequency, there are six typical sensitivity distributions representing six relative positions between the two electrodes in the measurement electrode pair, i.e., from the adjacent electrode pair to the opposite electrode pair. To make quantitative comparison, the average sensitivity Sa and the uniformity coefficient Su of the typical sensitivity distributions are introduced, which are defined as [23,24] :…”

Section: B Sensitivity Distributionmentioning

confidence: 99%

Study on Dual-Frequency Imaging of Capacitively Coupled Electrical Impedance Tomography: Frequency Optimization

Jiang

Huang

Wang

et al. 2022

IEEE Trans. Instrum. Meas.

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In this work, a new dual-frequency imaging framework of capacitively coupled electrical impedance tomography (CCEIT) is presented. Unlike conventional singlefrequency imaging, the dual-frequency imaging adopts two different working frequencies to obtain the real part and the imaginary part of the impedance respectively. With the real part image and the imaginary part image at the two frequencies, the framework further introduces image fusion to obtain the fused image. This work focuses on optimization of the two working frequencies. To achieve the optimal selection of the two frequencies, data collection in a wide range frequency is carried out. The multifrequency data is then analyzed in depth and investigated from several aspects, including the measurement data, the sensitivity distribution and the imaging quality. Experiment was carried out with a 12-electrode CCEIT sensor, an impedance analyzer, and a computer to obtain the real part and imaginary part measurements of the impedance. Research results show that a low working frequency is recommended for the real part, while a relatively high working frequency is recommended for the imaginary part. Within the investigated frequency range of 200 kHz -20 MHz, the optimized frequencies for the real part and the imaginary part are 1 MHz and 15 MHz respectively. Results of verification experiment shows the superior performance of the two selected frequencies. Additionally, this paper demonstrates the advantages of the dual-frequency imaging framework. Compared with CCEIT in individual frequencies, CCEIT based on dualfrequency imaging with the two optimized frequencies has much better imaging performance.

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“…The LBP algorithm directly replaces the inverse of the sensitivity matrix by its transpose, which is straightforward. Therefore, LBP is more suitable for evaluating the sensitivity coefficients in image reconstruction [20].…”

Section: A Numerical Simulationsmentioning

confidence: 99%

A New Calculation Method of the Sensitivity Coefficient for the ERT System

Hao

et al. 2022

IEEE Access

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Electrical Resistance Tomography (ERT) is a promising technique owing to its low cost, high speed, and visualization features. The sensitivity coefficient plays a significant role in ERT image reconstruction as a priori information. However, the existing methods for calculating sensitivity matrix suffer from poor interpretability and operability. The result leads to an obstacle to improving the quality of the reconstructed images. Therefore, we propose a new sensitivity calculation method that has the advantages of clear physical significance, high robustness, and strong interpretability. We compared the existing and new sensitivity matrices with some metrics, such as correlation coefficient and relative error, and tested the new method's performance by numerical simulations and experiments. The results show that the new sensitivity matrix is feasible and has better performance in ERT imaging reconstruction, especially in the presence of noise.INDEX TERMS Electrical resistance tomography, sensitivity matrix, electromagnetic field theory.

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Image Reconstruction Performance of a 12-Electrode CCERT Sensor Under Five Different Excitation Patterns

Cited by 8 publications

References 36 publications

Void fraction measurement of gas–liquid two-phase flow with a 12-electrode contactless resistivity array sensor under different excitation patterns

Void fraction measurement of gas–liquid two-phase flow with a 12-electrode contactless resistivity array sensor under different excitation patterns

Study on Dual-Frequency Imaging of Capacitively Coupled Electrical Impedance Tomography: Frequency Optimization

A New Calculation Method of the Sensitivity Coefficient for the ERT System

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