Articles with "insulator defect" as a keyword



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Insulator Defect Recognition Based on Global Detection and Local Segmentation

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2982288

Abstract: Locating the tiny insulator defect object with complex backgrounds in high-resolution aerial images is a challenging task. In this paper, we propose a novel method which cascades detection and segmentation networks to identify the defect… read more here.

Keywords: defect recognition; segmentation; network; detection ... See more keywords
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Intelligent Identification Method of Insulator Defects Based on CenterMask

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3179975

Abstract: Insulator defect is one of the most important factors for the grid power transmission accidents. However, up till now, traditional insulator defect identification methods cannot meet the requirements of high-speed transmission and high pixel ratio… read more here.

Keywords: based centermask; insulator defect; defect identification; identification ... See more keywords
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Research on insulator defect detection algorithm of transmission line based on CenterNet

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Published in 2021 at "PLoS ONE"

DOI: 10.1371/journal.pone.0255135

Abstract: The reliability of the insulator has directly affected the stable operation of electric power system. The detection of defective insulators has always been an important issue in smart grid systems. However, the traditional transmission line… read more here.

Keywords: detection; defect detection; insulator defect; transmission line ... See more keywords
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Research on an Insulator Defect Detection Method Based on Improved YOLOv5

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Published in 2023 at "Applied Sciences"

DOI: 10.3390/app13095741

Abstract: Insulators are widely used in various aspects of the power system and play a crucial role in ensuring the safety and stability of power transmission. Insulator detection is an important measure to guarantee the safety… read more here.

Keywords: insulator defect; localization; method based; power ... See more keywords
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A Light-Weight Network for Small Insulator and Defect Detection Using UAV Imaging Based on Improved YOLOv5

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Published in 2023 at "Sensors"

DOI: 10.3390/s23115249

Abstract: Insulator defect detection is of great significance to compromise the stability of the power transmission line. The state-of-the-art object detection network, YOLOv5, has been widely used in insulator and defect detection. However, the YOLOv5 network… read more here.

Keywords: insulator defect; network; defect detection; detection ... See more keywords