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Defect Identification of Composite Insulator Based on Infrared Image

The deterioration of a composite insulator’s mandrel will cause a serious power-grid accident, so it is necessary to find the defect as soon as possible. Infrared imaging is an effective means to detect mandrel-deterioration defects, but sheath-aging defects will cause trouble to screen mandrel dete...

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Autores principales: Zhang, Zhongyuan, Huang, Qilin, Geng, Jianghai, Liu, Qiyu, Zhang, Simin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269303/
https://www.ncbi.nlm.nih.gov/pubmed/35808664
http://dx.doi.org/10.3390/polym14132620
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author Zhang, Zhongyuan
Huang, Qilin
Geng, Jianghai
Liu, Qiyu
Zhang, Simin
author_facet Zhang, Zhongyuan
Huang, Qilin
Geng, Jianghai
Liu, Qiyu
Zhang, Simin
author_sort Zhang, Zhongyuan
collection PubMed
description The deterioration of a composite insulator’s mandrel will cause a serious power-grid accident, so it is necessary to find the defect as soon as possible. Infrared imaging is an effective means to detect mandrel-deterioration defects, but sheath-aging defects will cause trouble to screen mandrel deterioration. Therefore, it is urgent to distinguish the two defects. In this paper, two composite insulators that are out of service with different heating characteristics are tested and analyzed, and the temperature-rise characteristics are analyzed by building a simulation model. The results show that the temperature rise of composite insulators with oxidative decomposition of epoxy resin is large, and the range usually extends from the hardware of the high-voltage side to several umbrella skirts. The temperature rise caused by the composite insulator with the fiber completely wrapped by epoxy resin is small, which mainly occurs from the hardware to the first umbrella skirt. The simulation model constructed in this paper is consistent with the experimental results, which verifies the accuracy of the model. The model can distinguish the mandrel-deterioration defect and sheath-aging defect, and has guiding significance and important reference value for the detection rate of the mandrel-deterioration composite insulator and ensuring the safe and stable operation of the power grid.
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spelling pubmed-92693032022-07-09 Defect Identification of Composite Insulator Based on Infrared Image Zhang, Zhongyuan Huang, Qilin Geng, Jianghai Liu, Qiyu Zhang, Simin Polymers (Basel) Article The deterioration of a composite insulator’s mandrel will cause a serious power-grid accident, so it is necessary to find the defect as soon as possible. Infrared imaging is an effective means to detect mandrel-deterioration defects, but sheath-aging defects will cause trouble to screen mandrel deterioration. Therefore, it is urgent to distinguish the two defects. In this paper, two composite insulators that are out of service with different heating characteristics are tested and analyzed, and the temperature-rise characteristics are analyzed by building a simulation model. The results show that the temperature rise of composite insulators with oxidative decomposition of epoxy resin is large, and the range usually extends from the hardware of the high-voltage side to several umbrella skirts. The temperature rise caused by the composite insulator with the fiber completely wrapped by epoxy resin is small, which mainly occurs from the hardware to the first umbrella skirt. The simulation model constructed in this paper is consistent with the experimental results, which verifies the accuracy of the model. The model can distinguish the mandrel-deterioration defect and sheath-aging defect, and has guiding significance and important reference value for the detection rate of the mandrel-deterioration composite insulator and ensuring the safe and stable operation of the power grid. MDPI 2022-06-28 /pmc/articles/PMC9269303/ /pubmed/35808664 http://dx.doi.org/10.3390/polym14132620 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Zhongyuan
Huang, Qilin
Geng, Jianghai
Liu, Qiyu
Zhang, Simin
Defect Identification of Composite Insulator Based on Infrared Image
title Defect Identification of Composite Insulator Based on Infrared Image
title_full Defect Identification of Composite Insulator Based on Infrared Image
title_fullStr Defect Identification of Composite Insulator Based on Infrared Image
title_full_unstemmed Defect Identification of Composite Insulator Based on Infrared Image
title_short Defect Identification of Composite Insulator Based on Infrared Image
title_sort defect identification of composite insulator based on infrared image
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269303/
https://www.ncbi.nlm.nih.gov/pubmed/35808664
http://dx.doi.org/10.3390/polym14132620
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