Deep learning in automated power line inspection: A review
MAMd. Ahasan Atick FaisalIMImene MecheterYQYazan QiblaweyJHJavier Hernandez FernandezMEMuhammad E. H. Chowdhury
Indexed incrossref
Abstract
In recent years, power line maintenance has seen a paradigm shift by moving towards computer vision-powered automated inspection. The utilization of an extensive collection of videos and images has become essential for maintaining the reliability, safety, and sustainability of electricity transmission. A significant focus on applying deep learning techniques for enhancing power line inspection processes has been observed in recent research. A comprehensive review of existing studies has been conducted in this paper, to aid researchers and industries in developing improved deep learning-based systems for analyzing power line data. The conventional steps of data analysis in power line inspections have been…
Citation impact
47
total citations
- FWCI
- 43.03
- Percentile
- 100%
- References
- 190
Citations per year
Authors
6Topics & keywords
Topics
Keywords
- Line (geometry)
- Power (physics)
- Computer science
- Engineering
- Artificial intelligence
- Automotive engineering
- Reliability engineering
- Manufacturing engineering
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