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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…
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Keywords:
defect recognition;
segmentation;
network;
detection ... See more keywords
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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…
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Keywords:
based centermask;
insulator defect;
defect identification;
identification ... See more keywords
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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…
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Keywords:
detection;
defect detection;
insulator defect;
transmission line ... See more keywords
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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…
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Keywords:
insulator defect;
localization;
method based;
power ... See more keywords
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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…
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Keywords:
insulator defect;
network;
defect detection;
detection ... See more keywords