Enhancing electrical capacitance tomographic sensor design using fuzzy theory based quantifiers

Li, Nan; Yang, Xiangdong; Gong, Yu; Wang, Pai

doi:10.1088/0957-0233/25/12/125401

Cited by 10 publications

(6 citation statements)

References 25 publications

(28 reference statements)

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“…When an unknown substance is placed inside the sensing area, the electric field and the permittivity between the two electrodes will change according to the material characteristics of the substance. By measuring the capacitance of the sensor, the existence and properties of the substance can be identified [25,26]. A diagram of the working principle is shown in Figure 2.…”

Section: Working Principle and Methodologymentioning

confidence: 99%

Detection of Single Steel Strand Distribution in Grouting Duct Based on Capacitive Sensing Technique

Cao

et al. 2019

Sensors

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Grouting ducts (containing steel strands) are widely used to increase the structural strengths of infrastructures. The determination of the steel strand’s integrity inside of ducts and the grouting quality are important for a strength evaluation of the structure. In this study, a capacitive sensing technique was applied to identify the cross-sectional distribution of the steel strands. The distribution was expressed in polar coordinates in an external post-tensioned pre-stressed duct model. An improved capacitive sensor structure was designed, which consisted of four electrodes, and different electrode-pairs were used to determine various locations’ information of the steel strands. Two rounds of measurements were conducted using the designed sensor to detect the angle (θ) and center distance (r) of the steel strand in the duct. The simulated and experimental results are presented and analyzed. In general, it is difficult to locate the angle of a steel strand directly from first-round capacitance measurements by analyzing the experimental results. Our method based on Q-factor analysis was presented for the position detection of a steel bar in an external post-tensioned pre-stressed duct. The center distance of the steel bar could be identified by second-round capacitance measurements. The processed results verified the effectiveness of the proposed capacitive sensor structure. Thus, the capacitive sensing technique exhibited potential for steel strand cross-section distribution detection in external post-tensioned pre-stressed ducts.

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Section: Working Principle and Methodologymentioning

confidence: 99%

Detection of Single Steel Strand Distribution in Grouting Duct Based on Capacitive Sensing Technique

Cao

et al. 2019

Sensors

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“…The end guarding plate consists of copper, and the earthed shielding plate consists of aluminum. According to our previous research [32], the parameters of the ECT sensor are determined as listed in Table 1: is the number of electrodes;…”

Section: Setup Of Measurementmentioning

confidence: 99%

“…The capacitance residual of LBP is similar to Iterative Tikhonov and Projected Landweber, but worse than SVD and Tikhonov methods. Due to the fact that noniterative algorithms are typically used in practical applications and that the time consumption is less than in iterative algorithms, in order to simplify the comparison, the LBP algorithm is used to reconstruct the image [32]. Moreover, the LBP method is more suitable than iterative algorithms for dealing with stratified flow patterns.…”

Section: Considermentioning

confidence: 99%

“…The purpose of the present paper is to develop an ECT system for wax deposition detection of a nonmetallic pipeline. The optimal sensor structure is determined based on our previous research [32]. An ECT system is demonstrated in the experimental part, and the feasibility of the system is verified based on a comparison of the reconstructed images according to simulation and experimental results.…”

Section: Introductionmentioning

confidence: 99%

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Research on Application of Wax Deposition Detection in the Nonmetallic Pipeline Based on Electrical Capacitance Tomography

Liu

Yang

et al. 2016

Journal of Sensors

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Wax deposition detection in nonmetallic pipelines is an important requirement in the oil industry. In this paper, an ECT (electrical capacitance tomography) sensor is developed for wax deposition detection in nonmetallic pipelines. Four wax models with different concentrations were established for detection. These models were analyzed through simulations and practical experiments simultaneously and data were compared. A linear back projection algorithm is applied to reconstruct the image with both simulated and experimental data. A comparison of binary images with different concentration of stratified flow was demonstrated; this illustrates that the difference in concentration between the experimental results and profile distribution is less than 1.2%. The experimental results indicate that the ECT system is valid and feasible for detecting the degree of wax deposition in the nonmetallic pipelines.

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“…Common statistical experimental design methods for multi-factor optimization include orthogonal experimental design (OED) [18,19] and uniform experimental design (UED) [20,21]. OED is a multi-factor experimental design method based on the orthogonal array.…”

Section: Introductionmentioning

confidence: 99%

Application of Uniform Experimental Design in Optimizing Excitation Parameters for Magnetic Frequency Mixing Measurements

Chang

Jiao

Liu

et al. 2020

Chin. J. Mech. Eng.

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Excitation parameter preferences are key factors affecting the performance of magnetic frequency mixing detection. A uniform experimental design method was used to analyze this influence. Using fuzzy theory, a comprehensive model is established for evaluating the effect of magnetic frequency mixing. A polynomial is selected as the regression function to express explicitly the correlation between the excitation parameters and the frequency-mixing effect. The excitation parameters were then optimized using genetic algorithm. Magnetic frequency mixing experiments were conducted to measure the surface hardness of some ferromagnetic materials. Frequency mixing is further enhanced under the optimal settings, resulting in an improvement in the measurement sensitivity. The results of this study support the application of the magnetic frequency mixing technique in non-destructive testing. , respectively. He is currently a professor at Beijing University of Technology. His main research interests include mechanical testing theory method and technology, ultrasonic nondestructive testing technology, and sensor technology. Bin Wu received his BS, MS and PhD degree in 1984, 1990 and 1996 from Tianjin University, Beijing University of Aeronautics and Astronautics and Taiyuan University of Technology, respectively. He is currently a professor at Beijing University of Technology. His main research interests include experimental solid mechanics, modern measurement and control technology, nondestructive testing of new technology, and new sensor technology.

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Enhancing electrical capacitance tomographic sensor design using fuzzy theory based quantifiers

Cited by 10 publications

References 25 publications

Detection of Single Steel Strand Distribution in Grouting Duct Based on Capacitive Sensing Technique

Detection of Single Steel Strand Distribution in Grouting Duct Based on Capacitive Sensing Technique

Research on Application of Wax Deposition Detection in the Nonmetallic Pipeline Based on Electrical Capacitance Tomography

Application of Uniform Experimental Design in Optimizing Excitation Parameters for Magnetic Frequency Mixing Measurements

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