A fault detection method for transmission line components based on synthetic dataset and improved YOLOv5
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference54 articles.
1. Data analysis in visual power line inspection: an in-depth review of deep learning for component detection and fault diagnosis;Liu;Annu Rev Control,2020
2. Power transmission line inspection robots: a review, trends and challenges for future research;Alhassan;Int J Electr Power Energy Syst,2020
3. Deep learning-based system for automatic recognition and diagnosis of electrical insulator strings;Sampedro;IEEE Access,2019
4. Insulator condition analysis for overhead distribution lines using combined wavelet support vector machine (SVM);Murthy;IEEE Trans Dielectr Electr Insul,2010
5. Insulator recognition and defects detection based on shape perceptual;Zhang;Journal of Image Graphics,2014
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