An Electrical Insulator Defects Detection Method Combined Human Receptive Field Model
Nondestructive inspection of electrical insulators subjected to the high electrical stress and environmental damage is fundamental for reliable operation of a transmission lines. The breakage and defect of the insulator have great influence on the safe of transmission lines, and insulator defect det...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2018/2371825 |
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| _version_ | 1832545896096595968 |
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| author | Li Guo Yu Liao Hongying Yao Jinhao Chen Manran Wang |
| author_facet | Li Guo Yu Liao Hongying Yao Jinhao Chen Manran Wang |
| author_sort | Li Guo |
| collection | DOAJ |
| description | Nondestructive inspection of electrical insulators subjected to the high electrical stress and environmental damage is fundamental for reliable operation of a transmission lines. The breakage and defect of the insulator have great influence on the safe of transmission lines, and insulator defect detection with difference types is a complex work. This paper proposed an insulator defect detection method inspired by human receptive field model, which meets the requirements for detecting defect insulator in a simple background. In this method, the defect detection combined human receptive field model of human visual system is constructed and applied on the different insulators, so as to achieve accurate detection of the insulator defected parts. Experimental results show that the method can accurately and robustly detect the defect (such as cracks and damage) of electrical insulator in case of noise affect. |
| format | Article |
| id | doaj-art-fb8b641db987434ba30b9d9d0a3ca9ee |
| institution | Kabale University |
| issn | 1687-5249 1687-5257 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Control Science and Engineering |
| spelling | doaj-art-fb8b641db987434ba30b9d9d0a3ca9ee2025-02-03T07:24:32ZengWileyJournal of Control Science and Engineering1687-52491687-52572018-01-01201810.1155/2018/23718252371825An Electrical Insulator Defects Detection Method Combined Human Receptive Field ModelLi Guo0Yu Liao1Hongying Yao2Jinhao Chen3Manran Wang4Hubei University for Nationalities, Hubei, Enshi 445000, ChinaHubei University for Nationalities, Hubei, Enshi 445000, ChinaHubei University for Nationalities, Hubei, Enshi 445000, ChinaHubei University for Nationalities, Hubei, Enshi 445000, ChinaHubei University for Nationalities, Hubei, Enshi 445000, ChinaNondestructive inspection of electrical insulators subjected to the high electrical stress and environmental damage is fundamental for reliable operation of a transmission lines. The breakage and defect of the insulator have great influence on the safe of transmission lines, and insulator defect detection with difference types is a complex work. This paper proposed an insulator defect detection method inspired by human receptive field model, which meets the requirements for detecting defect insulator in a simple background. In this method, the defect detection combined human receptive field model of human visual system is constructed and applied on the different insulators, so as to achieve accurate detection of the insulator defected parts. Experimental results show that the method can accurately and robustly detect the defect (such as cracks and damage) of electrical insulator in case of noise affect.http://dx.doi.org/10.1155/2018/2371825 |
| spellingShingle | Li Guo Yu Liao Hongying Yao Jinhao Chen Manran Wang An Electrical Insulator Defects Detection Method Combined Human Receptive Field Model Journal of Control Science and Engineering |
| title | An Electrical Insulator Defects Detection Method Combined Human Receptive Field Model |
| title_full | An Electrical Insulator Defects Detection Method Combined Human Receptive Field Model |
| title_fullStr | An Electrical Insulator Defects Detection Method Combined Human Receptive Field Model |
| title_full_unstemmed | An Electrical Insulator Defects Detection Method Combined Human Receptive Field Model |
| title_short | An Electrical Insulator Defects Detection Method Combined Human Receptive Field Model |
| title_sort | electrical insulator defects detection method combined human receptive field model |
| url | http://dx.doi.org/10.1155/2018/2371825 |
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