Detection of Faults in High Voltage Power Transmission Lines Using Unmanned Aerial Vehicle with Artificial Intelligence Methods
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-56310-2_12
Reference11 articles.
1. Korkmaz, U.: Yüksek gerilim dağıtım hatlarının kablo tüneli yöntemiyle taşınması (Master's thesis, Altınbaş Üniversitesi) (2018)
2. Iversen, N., Schofield, O.B., Cousin, L., Ayoub, N., Vom Bögel, G., Ebeid, E.: Design, integration and implementation of an intelligent and self-recharging drone system for autonomous power line inspection. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4168–4175. IEEE (2021)
3. Matikainen, L., et al.: Remote sensing methods for power line corridor surveys. ISPRS J. Photogramm. Remote Sens. 119, 10–31 (2016)
4. Lekidis, A., Anastasiadis, A.G., Vokas, G.A.: Electricity infrastructure inspection using AI and edge platform-based UAVs. Energy Rep. 8, 1394–1411 (2022)
5. Wang, Z., Gao, Q., Xu, J., Li, D.: A review of UAV power line inspection. In: Yan, L., Duan, H., Yu, X. (eds.) Advances in Guidance, Navigation and Control, LNEE, vol. 644, pp. 3147–3159. Springer, Singapore (2022). https://doi.org/10.1007/978-981-15-8155-7_263
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