An image reconstruction algorithm based on Bayesian theorem for electrical resistance tomography

Liu, Qifang; Han, Yan; Zhang, Xixiang

doi:10.1016/j.ijleo.2014.06.112

Cited by 5 publications

(5 citation statements)

References 10 publications

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“…The Roc-GUI software interface was used to communicate between the ERT machine and the computer. The Bayesian reconstruction method was used to reconstruct the images [51].…”

Section: Resultsmentioning

confidence: 99%

“…The electrical conductivity σ and electrical potential distribution Φ; are related to Maxwell's equation in the sensing field Ω. Assuming a source-free region, in the case of ERT it can be simplified in the form of Equation (3) [51].…”

Section: Application Of a Voltage Injected-current Detected (V-c) Basmentioning

confidence: 99%

“…The forward problem is shown in Equation (4), where potential differences V between the electrode pair of a given injection is evaluated using the knowledge of σ. Usually, the finite element method (FEM) is used to govern Equation (3), to compute the numerical solution [51,52].…”

Section: Application Of a Voltage Injected-current Detected (V-c) Basmentioning

confidence: 99%

“…Mathematical models for ERT and models for forward and inverse problem using Bayesian theorems along with a comparison of simulated and experimental data were performed by [51]. In this work, the commercially available software solutions from Rocsole Inc. was used to implement Bayesian reconstruction.…”

Section: Application Of a Voltage Injected-current Detected (V-c) Basmentioning

confidence: 99%

“…The Roc-GUI software interface was used to communicate between the ERT machine and the computer. The Bayesian reconstruction method was used to reconstruct the images[51].The ERT was tested with all the three solutions in the V-C mode of operation. The voltage injected, and the current detected at each sensor were recorded.…”

mentioning

confidence: 99%

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Process Monitoring of Antisolvent Based Crystallization in Low Conductivity Solutions Using Electrical Impedance Spectroscopy and 2-D Electrical Resistance Tomography

et al. 2020

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Industrial process monitoring is an important field of research where different chemical processes are monitored and controlled. In this work, electrical impedance spectroscopy (EIS) was used to analyze antisolvent based crystallization of sucrose solutions. The impedance and phase spectra were recorded for four known sucrose concentrations in water, and for each case, four predetermined amounts of ethanol were added. As a result, sixteen different solutions involving sucrose solutions of different concentrations and ethanol to water ratios were analyzed. Significant differences were observed in the magnitude and phase spectra of the solutions in the frequency range of 50 kHz to 300 kHz. The experimentally obtained data from the EIS were converted into frequency response models. Three continuous-time transfer function models of the first-order, second-order, and a second-order with a zero were estimated and compared. In addition, a 2-D electrical resistance tomography (ERT) system with a low conductivity sensor unit was designed and tested with demineralized water, tap water and industrial food grade saturated sucrose solution. Non-conducting phantom and sugar crystals were observed within the saturated sucrose solution using the Bayesian reconstruction algorithm. These demonstrations have the potential to be developed into a multi-frequency ERT systems for monitoring the distribution of the crystals in the reactor. The EIS modality can be a complementary process analytical technology (PAT) tool indicating supersaturation status and provide quality assurance.

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“…The Roc-GUI software interface was used to communicate between the ERT machine and the computer. The Bayesian reconstruction method was used to reconstruct the images [51].…”

Section: Resultsmentioning

confidence: 99%

Section: Application Of a Voltage Injected-current Detected (V-c) Basmentioning

confidence: 99%

Section: Application Of a Voltage Injected-current Detected (V-c) Basmentioning

confidence: 99%

Section: Application Of a Voltage Injected-current Detected (V-c) Basmentioning

confidence: 99%

mentioning

confidence: 99%

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Process Monitoring of Antisolvent Based Crystallization in Low Conductivity Solutions Using Electrical Impedance Spectroscopy and 2-D Electrical Resistance Tomography

et al. 2020

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Reduction of electric field strength by two species of trees under power transmission lines

et al. 2017

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Quadrupole method: A new approach for solving the direct problem of electrical resistance tomography

Saad

Sdayria²,

Madiouli

et al. 2017

Journal of King Saud University - Science

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An image reconstruction algorithm based on Bayesian theorem for electrical resistance tomography

Cited by 5 publications

References 10 publications

Process Monitoring of Antisolvent Based Crystallization in Low Conductivity Solutions Using Electrical Impedance Spectroscopy and 2-D Electrical Resistance Tomography

Process Monitoring of Antisolvent Based Crystallization in Low Conductivity Solutions Using Electrical Impedance Spectroscopy and 2-D Electrical Resistance Tomography

Reduction of electric field strength by two species of trees under power transmission lines

Quadrupole method: A new approach for solving the direct problem of electrical resistance tomography

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