Research of partial discharge characteristics in XLPE-insulated cables with single and multiple defects

Polyakov, D. A.; Komarov, I. V.; Sarsembayev, Amir B.; Nikitin, K. I.; Polyakova, U. V.

doi:10.1109/reepe51337.2021.9387998

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…The search for the place of damage is carried out in two stages: the first stage determines the zone of damage with a given error and the second stage determines the place of damage on the cable line route. The integration of artificial intelligence into the process of damage detection will reduce the methodological and instrumental error in determining the damage zone at the first stage and will reduce the total time of accident elimination [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Creation of a library of images of cable line insulation breakdown for neural network training based on data from the study of wave processes in the digital twin of the cable line

Yurov,

Lukonin,

Srorojenko

et al. 2023

E3S Web of Conf.

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The aim of the work is to create a library of images of cable line insulation breakdown for training a neural network of a functional unit integrated into a high voltage test facility based on data from the study of wave processes in the digital twin of a cable line. The goal is achieved by determining the characteristic properties of the wave process in a cable line when tested with high direct voltage of negative polarity during field experiments and verifying these results on a mathematical model. The calculated data array on the verified model is the main volume of primary information for creating a library of images of insulation breakdown. The most important and significant results are the creation of a library of images of insulation breakdown and the adaptation of the algorithm for approximating input data with images from the neural network library, the integration of artificial intelligence into the process of determining the location of defective insulation at the test stage. The significance of the results is to reduce the methodological and instrumental error in determining the damage zone, since all stages of data collection and analysis are performed by a functional module built into the test unit, in addition, the calculation is performed automatically, which minimizes the role of anthropogenic factors on the result and reduces the requirements for the personnel of the electrical laboratory, the introduction of such equipment will reduce complete the time of elimination of the accident and increase the speed of restoration work on the route of the line.

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Section: Introductionmentioning

confidence: 99%

Creation of a library of images of cable line insulation breakdown for neural network training based on data from the study of wave processes in the digital twin of the cable line

Yurov,

Lukonin,

Srorojenko

et al. 2023

E3S Web of Conf.

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The device for monitoring the insulation breakdown zone of power cable lines in distribution networks with isolated neutral system during high-voltage diagnostic

et al. 2023

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The article considers an electrical device designed for diagnostic work in distribution networks of 6-10 kV, namely, the determination of damage zones in case of failure of insulating materials of cable lines during high-voltage diagnostics with a rectified voltage of negative polarity. The novelty of the developed device is its ability to connect directly to a high-voltage cable line without additional matching devices. The device is capable of detecting damage zones in lines up to 10 km remotely with an error of up to 0.2% of the cable length. The prefix allows you to fix any variants of damage to single-phase and three-phase cable lines with high transient resistance at the site of damage without the operation of “burning” insulation, which significantly reduces the time of repair work at the controlled facility.

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Device for determining the places of damage to the insulation of 6-10 kV power cable lines based on intelligent control functions

Yurov,

Voronov,

Lukonin

et al. 2023

Proceeding of the 7th International Conference of Science, Technology, and Interdisciplinary Research (Ic-Star 2021)

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Research of partial discharge characteristics in XLPE-insulated cables with single and multiple defects

Cited by 3 publications

References 20 publications

Creation of a library of images of cable line insulation breakdown for neural network training based on data from the study of wave processes in the digital twin of the cable line

Creation of a library of images of cable line insulation breakdown for neural network training based on data from the study of wave processes in the digital twin of the cable line

The device for monitoring the insulation breakdown zone of power cable lines in distribution networks with isolated neutral system during high-voltage diagnostic

Device for determining the places of damage to the insulation of 6-10 kV power cable lines based on intelligent control functions

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