Self-Shattering Defect Detection of Glass Insulators Based on Spatial Features
During an automatic power transmission line inspection, a large number of images are collected by unmanned aerial vehicles (UAVs) to detect existing defects in transmission line components, especially insulators. However, with twin insulator strings in the inspection images, when the umbrella skirts...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-02-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/3/543 |
| _version_ | 1811301503551406080 |
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| author | Haiyan Cheng Yongjie Zhai Rui Chen Di Wang Ze Dong Yutao Wang |
| author_facet | Haiyan Cheng Yongjie Zhai Rui Chen Di Wang Ze Dong Yutao Wang |
| author_sort | Haiyan Cheng |
| collection | DOAJ |
| description | During an automatic power transmission line inspection, a large number of images are collected by unmanned aerial vehicles (UAVs) to detect existing defects in transmission line components, especially insulators. However, with twin insulator strings in the inspection images, when the umbrella skirts of the rear string are obstructed by the front string, defect detection becomes difficult. To solve this problem, we propose a method to detect self-shattering defects of insulators based on spatial features contained in images. Firstly, the images are segmented according to the particular color features of glass insulators, and the main axes of insulator strings in the images are adjusted to the horizontal direction. Then, the connected regions of insulators in the images are marked. After that, the vertical lengths of the regions, the number of insulator pixels in the regions, as well as the horizontal distances between two adjacent connected regions are selected as spatial features, based on which defect discriminants are formulated. Finally, experiments are performed using the proposed formula to detect self-shattering defects in the insulators, using the spatial distribution of the connected regions to locate the defects. The experiment results indicate that the proposed method has good detection accuracy and localization precision. |
| first_indexed | 2024-04-13T07:10:01Z |
| format | Article |
| id | doaj.art-5031011d36a14ab996c220b624c44dac |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-13T07:10:01Z |
| publishDate | 2019-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-5031011d36a14ab996c220b624c44dac2022-12-22T02:56:54ZengMDPI AGEnergies1996-10732019-02-0112354310.3390/en12030543en12030543Self-Shattering Defect Detection of Glass Insulators Based on Spatial FeaturesHaiyan Cheng0Yongjie Zhai1Rui Chen2Di Wang3Ze Dong4Yutao Wang5Hebei Engineering Research Center of Simulation and Optimized Control for Power Generation, North China Electric Power University, Baoding 071003, ChinaHebei Engineering Research Center of Simulation and Optimized Control for Power Generation, North China Electric Power University, Baoding 071003, ChinaHebei Engineering Research Center of Simulation and Optimized Control for Power Generation, North China Electric Power University, Baoding 071003, ChinaPower China Guizhou Electric Power Design & Research Institute Co., LTD, Guiyang 550002, ChinaHebei Engineering Research Center of Simulation and Optimized Control for Power Generation, North China Electric Power University, Baoding 071003, ChinaHebei Engineering Research Center of Simulation and Optimized Control for Power Generation, North China Electric Power University, Baoding 071003, ChinaDuring an automatic power transmission line inspection, a large number of images are collected by unmanned aerial vehicles (UAVs) to detect existing defects in transmission line components, especially insulators. However, with twin insulator strings in the inspection images, when the umbrella skirts of the rear string are obstructed by the front string, defect detection becomes difficult. To solve this problem, we propose a method to detect self-shattering defects of insulators based on spatial features contained in images. Firstly, the images are segmented according to the particular color features of glass insulators, and the main axes of insulator strings in the images are adjusted to the horizontal direction. Then, the connected regions of insulators in the images are marked. After that, the vertical lengths of the regions, the number of insulator pixels in the regions, as well as the horizontal distances between two adjacent connected regions are selected as spatial features, based on which defect discriminants are formulated. Finally, experiments are performed using the proposed formula to detect self-shattering defects in the insulators, using the spatial distribution of the connected regions to locate the defects. The experiment results indicate that the proposed method has good detection accuracy and localization precision.https://www.mdpi.com/1996-1073/12/3/543defect detectionglass insulatorlocalizationself-shatteringspatial features |
| spellingShingle | Haiyan Cheng Yongjie Zhai Rui Chen Di Wang Ze Dong Yutao Wang Self-Shattering Defect Detection of Glass Insulators Based on Spatial Features Energies defect detection glass insulator localization self-shattering spatial features |
| title | Self-Shattering Defect Detection of Glass Insulators Based on Spatial Features |
| title_full | Self-Shattering Defect Detection of Glass Insulators Based on Spatial Features |
| title_fullStr | Self-Shattering Defect Detection of Glass Insulators Based on Spatial Features |
| title_full_unstemmed | Self-Shattering Defect Detection of Glass Insulators Based on Spatial Features |
| title_short | Self-Shattering Defect Detection of Glass Insulators Based on Spatial Features |
| title_sort | self shattering defect detection of glass insulators based on spatial features |
| topic | defect detection glass insulator localization self-shattering spatial features |
| url | https://www.mdpi.com/1996-1073/12/3/543 |
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