Image processing‐based noise‐resilient insulator defect detection using YOLOv8x

Image processing‐based noise‐resilient insulator defect detection using YOLOv8x

Abstract Accurate and efficient insulator defect detection is critical for power grid reliability, but it can be affected by the presence of noises in captured images and can be difficult to employ for real‐time operation due to the slow processing of the detection scheme. This paper proposes a nove...

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Bibliographic Details
Main Authors: Shagor Hasan, Md. Abdur Rahman, Md. Rashidul Islam, Animesh Sarkar Tusher
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Smart Grid
Subjects:
artificial intelligence and data analytics
feature extraction
pattern classification
power system reliability
power transmission
Online Access:https://doi.org/10.1049/stg2.12199
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https://doi.org/10.1049/stg2.12199

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