Mathematical model of insulation breakdown prediction based on partial discharge characteristics

The paper investigates the existing mathematical models of insulation destruction. It has been determined that most of the models for assessing the residual life of insulation are based on models of thermal and thermo oxidative destruction of insulation materials. Currently, solid dielectrics ar...

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Main Authors: I. V. Komarov, D. A. Polyakov, K. I. Nikitin, V. Yu. Miroshnik
Format: Article
Language:English
Published: Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education 2021-03-01
Series:Омский научный вестник
Subjects:
Online Access:https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2021/%20%E2%84%96%201%20(175)%20(%D0%9E%D0%9D%D0%92)/46-49%20%D0%9A%D0%BE%D0%BC%D0%B0%D1%80%D0%BE%D0%B2%20%D0%98.%20%D0%92.,%20%D0%9F%D0%BE%D0%BB%D1%8F%D0%BA%D0%BE%D0%B2%20%D0%94.%20%D0%90.,%20%D0%9D%D0%B8%D0%BA%D0%B8%D1%82%D0%B8%D0%BD%20%D0%9A.%20%D0%98.%20%D0%B8%20%D0%B4%D1%80..pdf
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author I. V. Komarov
D. A. Polyakov
K. I. Nikitin
V. Yu. Miroshnik
author_facet I. V. Komarov
D. A. Polyakov
K. I. Nikitin
V. Yu. Miroshnik
author_sort I. V. Komarov
collection DOAJ
description The paper investigates the existing mathematical models of insulation destruction. It has been determined that most of the models for assessing the residual life of insulation are based on models of thermal and thermo oxidative destruction of insulation materials. Currently, solid dielectrics are gaining popularity, including crosslinked polyethylene, PVC, ethylene-propylene rubber, and others. In such dielectrics, it is possible to estimate the residual life in the short term. This possibility and necessity is due to the possibility of growth of tree defects under the influence of partial discharges. The article describes the proposed mathematical model for assessing the residual resource of insulation by modeling the growth of a defect. To take into account the influence of random variables, the model uses the Weibull distribution. The model assumes the division of the insulation thickness into some areas, each of which is destroyed independently of the others. The destruction of these areas occurs when partial discharges occur with certain energy sufficient to destroy the material. Insulation failure is predicted using the least squares method. The results obtained can be useful in assessing the residual life of insulating materials and in conducting research in this area.
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institution Kabale University
issn 1813-8225
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language English
publishDate 2021-03-01
publisher Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education
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spelling doaj-art-2ea35daf2e5846ae8bb46efc459913c22025-02-02T08:35:33ZengOmsk State Technical University, Federal State Autonoumos Educational Institution of Higher EducationОмский научный вестник1813-82252541-75412021-03-011 (175)464910.25206/1813-8225-2021-175-46-49Mathematical model of insulation breakdown prediction based on partial discharge characteristicsI. V. Komarov0D. A. Polyakov1https://orcid.org/0000-0001-8813-2291K. I. Nikitin2V. Yu. Miroshnik3Omsk State Technical UniversityOmsk State Technical UniversityOmsk State Technical UniversityOmsk State Technical UniversityThe paper investigates the existing mathematical models of insulation destruction. It has been determined that most of the models for assessing the residual life of insulation are based on models of thermal and thermo oxidative destruction of insulation materials. Currently, solid dielectrics are gaining popularity, including crosslinked polyethylene, PVC, ethylene-propylene rubber, and others. In such dielectrics, it is possible to estimate the residual life in the short term. This possibility and necessity is due to the possibility of growth of tree defects under the influence of partial discharges. The article describes the proposed mathematical model for assessing the residual resource of insulation by modeling the growth of a defect. To take into account the influence of random variables, the model uses the Weibull distribution. The model assumes the division of the insulation thickness into some areas, each of which is destroyed independently of the others. The destruction of these areas occurs when partial discharges occur with certain energy sufficient to destroy the material. Insulation failure is predicted using the least squares method. The results obtained can be useful in assessing the residual life of insulating materials and in conducting research in this area.https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2021/%20%E2%84%96%201%20(175)%20(%D0%9E%D0%9D%D0%92)/46-49%20%D0%9A%D0%BE%D0%BC%D0%B0%D1%80%D0%BE%D0%B2%20%D0%98.%20%D0%92.,%20%D0%9F%D0%BE%D0%BB%D1%8F%D0%BA%D0%BE%D0%B2%20%D0%94.%20%D0%90.,%20%D0%9D%D0%B8%D0%BA%D0%B8%D1%82%D0%B8%D0%BD%20%D0%9A.%20%D0%98.%20%D0%B8%20%D0%B4%D1%80..pdfinsulation breakdowninsulation defectpartial dischargeinsulation destruction modelbreakdown prediction
spellingShingle I. V. Komarov
D. A. Polyakov
K. I. Nikitin
V. Yu. Miroshnik
Mathematical model of insulation breakdown prediction based on partial discharge characteristics
Омский научный вестник
insulation breakdown
insulation defect
partial discharge
insulation destruction model
breakdown prediction
title Mathematical model of insulation breakdown prediction based on partial discharge characteristics
title_full Mathematical model of insulation breakdown prediction based on partial discharge characteristics
title_fullStr Mathematical model of insulation breakdown prediction based on partial discharge characteristics
title_full_unstemmed Mathematical model of insulation breakdown prediction based on partial discharge characteristics
title_short Mathematical model of insulation breakdown prediction based on partial discharge characteristics
title_sort mathematical model of insulation breakdown prediction based on partial discharge characteristics
topic insulation breakdown
insulation defect
partial discharge
insulation destruction model
breakdown prediction
url https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2021/%20%E2%84%96%201%20(175)%20(%D0%9E%D0%9D%D0%92)/46-49%20%D0%9A%D0%BE%D0%BC%D0%B0%D1%80%D0%BE%D0%B2%20%D0%98.%20%D0%92.,%20%D0%9F%D0%BE%D0%BB%D1%8F%D0%BA%D0%BE%D0%B2%20%D0%94.%20%D0%90.,%20%D0%9D%D0%B8%D0%BA%D0%B8%D1%82%D0%B8%D0%BD%20%D0%9A.%20%D0%98.%20%D0%B8%20%D0%B4%D1%80..pdf
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