Surface-Integrated Electric Field Sensor for the Detection of High-Voltage Power Lines

Lee, Gunbok; Kim, Jeong-Yeon; Kim, Gildong; Kim, Jae Hee

doi:10.3390/s21248327

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…SDA performs well when placed vertically to the electric field, whereas for PP horizontal direction is the most suitable direction. Therefore the orientation is also important in the sensor deployment [42,43]. The proposed method works with the measurements of E rms at different sensor locations.…”

Section: Microwave-plasma Interaction Based Technique For Plasma Diag...mentioning

confidence: 99%

Deep learning assisted microwave-plasma interaction based technique for plasma density estimation

Ghosh,

Chaudhury,

Purohit

et al. 2023

J. Phys. D: Appl. Phys.

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The electron density is a key parameter to characterize any plasma. Most of the plasma applications and research in the area of low-temperature plasmas (LTPs) are based on the accurate estimations of plasma density and plasma temperature. The conventional methods for electron density measurements offer axial and radial profiles for any given linear LTP device. These methods have major disadvantages of operational range (not very wide), cumbersome instrumentation, and complicated data analysis procedures. The article proposes a deep learning (DL) assisted microwave-plasma interaction-based non-invasive strategy, which can be used as a new alternative approach to address some of the challenges associated with existing plasma density measurement techniques. The electric field pattern due to microwave scattering from plasma is utilized to estimate the density profile. The proof of concept is tested for a simulated training data set comprising a low-temperature, unmagnetized, collisional plasma. Different types of symmetric (Gaussian-shaped) and asymmetrical density profiles, in the range 1016–1019 m−3, addressing a range of experimental configurations have been considered in our study. Real-life experimental issues such as the presence of noise and the amount of measured data (dense vs sparse) have been taken into consideration while preparing the synthetic training data-sets. The DL-based technique has the capability to determine the electron density profile within the plasma. The performance of the proposed DL-based approach has been evaluated using three metrics- structural similarity index, root mean square logarithmic error, and mean absolute percentage error. The obtained results show promising performance in estimating the 2D radial profile of the density for the given linear plasma device and affirms the potential of the proposed machine learning-based approach in plasma diagnostics.

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Section: Microwave-plasma Interaction Based Technique For Plasma Diag...mentioning

confidence: 99%

Deep learning assisted microwave-plasma interaction based technique for plasma density estimation

Ghosh,

Chaudhury,

Purohit

et al. 2023

J. Phys. D: Appl. Phys.

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“…Uniform electric field enables multi-needles electrospinning head based on trapezoid arrangement [1]. A uniform electric field is also required for the detection of high-voltage power lines by surface-integrated electric field sensors [2]. Homogeneous electric field is a part of defibrillators, electrochemotherapy, electrophoresis in biochemistry etc.…”

Section: Introductionmentioning

confidence: 99%

Distortion of electric field homogeneity between two thin toroidal electrodes by a dielectric sphere

2022

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We assess the influence of a radius and a relative permittivity of an isotropic dielectric sphere on electric field homogeneity. The homogenous electric field is generated using two thin toroidal electrodes, charged by equal charges of opposite signs. The Poisson equation is solved by a method of separation of variables. Increase in a relative permittivity of the sphere and in its radius, produces more distortions of the electric field homogeneity.

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Surface-Integrated Electric Field Sensor for the Detection of High-Voltage Power Lines

Cited by 2 publications

References 13 publications

Deep learning assisted microwave-plasma interaction based technique for plasma density estimation

Deep learning assisted microwave-plasma interaction based technique for plasma density estimation

Distortion of electric field homogeneity between two thin toroidal electrodes by a dielectric sphere

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