Feature extraction and classification of surface discharges on an ice-covered insulator string during AC flashover using gray-level co-occurrence matrix

Abstract This study focuses on the feature extraction and classification of surface discharges of ice-covered insulator strings during process of alternating current flashover. The test specimen was the five units suspension ceramic insulators, which was artificially accreted with wet-grown ice in t...

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Autores principales:	Yong Liu, Qiran Li, Boxue Du, Masoud Farzaneh
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4135a31478624bf7ae18c7434f49a8a0
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spelling	oai:doaj.org-article:4135a31478624bf7ae18c7434f49a8a02021-12-02T10:47:54ZFeature extraction and classification of surface discharges on an ice-covered insulator string during AC flashover using gray-level co-occurrence matrix10.1038/s41598-021-82254-92045-2322https://doaj.org/article/4135a31478624bf7ae18c7434f49a8a02021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82254-9https://doaj.org/toc/2045-2322Abstract This study focuses on the feature extraction and classification of surface discharges of ice-covered insulator strings during process of alternating current flashover. The test specimen was the five units suspension ceramic insulators, which was artificially accreted with wet-grown ice in the cold-climate room of CIGELE. Based on the IEEE Standard 1783/2009, flashover experiments were conducted on iced insulators to measure the minimum flashover voltage (VMF) and record the propagating process of surface discharges to flashover by using a high-speed video camera. The gray-level co-occurrence matrix (GLCM) method has been used to extract four parameters of arc discharge images features that characterize different stages of flashover process. The parameters are angular second moment (ASM), contrast (CON), inverse difference moment (IDM) and entropy (ENT). These statistical parameters of GLCM can be extracted to reveal the underlying properties of ice flashover on the insulator surface from the quantitative perspective. The different values of these indicators are representative of the different stages in the process of arc discharge. Once the value of quantitative indicators (ASM, CON, IDM, ENT) of surface discharges exceeds the threshold value, the higher flashover risk of iced insulators will appear. Hence, the proposed methods are helpful to understand and monitor surface discharge on iced outdoor insulator strings for preventing flashover accidents.Yong LiuQiran LiBoxue DuMasoud FarzanehNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yong Liu Qiran Li Boxue Du Masoud Farzaneh Feature extraction and classification of surface discharges on an ice-covered insulator string during AC flashover using gray-level co-occurrence matrix
description	Abstract This study focuses on the feature extraction and classification of surface discharges of ice-covered insulator strings during process of alternating current flashover. The test specimen was the five units suspension ceramic insulators, which was artificially accreted with wet-grown ice in the cold-climate room of CIGELE. Based on the IEEE Standard 1783/2009, flashover experiments were conducted on iced insulators to measure the minimum flashover voltage (VMF) and record the propagating process of surface discharges to flashover by using a high-speed video camera. The gray-level co-occurrence matrix (GLCM) method has been used to extract four parameters of arc discharge images features that characterize different stages of flashover process. The parameters are angular second moment (ASM), contrast (CON), inverse difference moment (IDM) and entropy (ENT). These statistical parameters of GLCM can be extracted to reveal the underlying properties of ice flashover on the insulator surface from the quantitative perspective. The different values of these indicators are representative of the different stages in the process of arc discharge. Once the value of quantitative indicators (ASM, CON, IDM, ENT) of surface discharges exceeds the threshold value, the higher flashover risk of iced insulators will appear. Hence, the proposed methods are helpful to understand and monitor surface discharge on iced outdoor insulator strings for preventing flashover accidents.
format	article
author	Yong Liu Qiran Li Boxue Du Masoud Farzaneh
author_facet	Yong Liu Qiran Li Boxue Du Masoud Farzaneh
author_sort	Yong Liu
title	Feature extraction and classification of surface discharges on an ice-covered insulator string during AC flashover using gray-level co-occurrence matrix
title_short	Feature extraction and classification of surface discharges on an ice-covered insulator string during AC flashover using gray-level co-occurrence matrix
title_full	Feature extraction and classification of surface discharges on an ice-covered insulator string during AC flashover using gray-level co-occurrence matrix
title_fullStr	Feature extraction and classification of surface discharges on an ice-covered insulator string during AC flashover using gray-level co-occurrence matrix
title_full_unstemmed	Feature extraction and classification of surface discharges on an ice-covered insulator string during AC flashover using gray-level co-occurrence matrix
title_sort	feature extraction and classification of surface discharges on an ice-covered insulator string during ac flashover using gray-level co-occurrence matrix
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/4135a31478624bf7ae18c7434f49a8a0
work_keys_str_mv	AT yongliu featureextractionandclassificationofsurfacedischargesonanicecoveredinsulatorstringduringacflashoverusinggraylevelcooccurrencematrix AT qiranli featureextractionandclassificationofsurfacedischargesonanicecoveredinsulatorstringduringacflashoverusinggraylevelcooccurrencematrix AT boxuedu featureextractionandclassificationofsurfacedischargesonanicecoveredinsulatorstringduringacflashoverusinggraylevelcooccurrencematrix AT masoudfarzaneh featureextractionandclassificationofsurfacedischargesonanicecoveredinsulatorstringduringacflashoverusinggraylevelcooccurrencematrix
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Feature extraction and classification of surface discharges on an ice-covered insulator string during AC flashover using gray-level co-occurrence matrix

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