FlashDetR: A deep learning pipeline for early detection and time estimation of flashover in high-voltage insulators using infrared videos

FlashDetR: A deep learning pipeline for early detection and time estimation of flashover in high-voltage insulators using infrared videos

<p>Flashover in high-voltage insulators poses a significant risk to power system reliability, potentially leading to outages and safety hazards. This study introduces an innovative deep learning-based approach for early prediction of flashover events and time-to-flashover estimation by analyzi...

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Bibliographic Details
Main Author: Najmath Ottakath (17430912) (author)
Other Authors: Abdullah Lutfi (22804337) (author), Ali Hamdi (13432680) (author), Khaled Shaban (20074425) (author), Ayman El-Hag (20055087) (author)
Published: 2025
Subjects:
Engineering
Electrical engineering
Electronics, sensors and digital hardware
Information and computing sciences
Artificial intelligence
Machine learning
Dry band arcing
Flashover
Early prediction
Transformer model
Deep learning
Time-to-flashover
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