Study on a Boat-Assisted Drone Inspection Scheme for the Modern Large-Scale Offshore Wind Farm
Author:
Affiliation:
1. School of Electrical Engineering, Guangxi University, Nanning, China
2. School of Computer and Electronic Information, Guangxi University, Nanning, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems
Link
http://xplorestaging.ieee.org/ielx7/4267003/10235272/10132872.pdf?arnumber=10132872
Reference26 articles.
1. MEC-Driven UAV-Enabled Routine Inspection Scheme in Wind Farm Under Wind Influence
2. Wind turbine blade surface inspection based on deep learning and UAV-taken images
3. QoS-Aware UAV Coverage path planning in 5G mmWave network
4. Efficient Aerial Data Collection With Cooperative Trajectory Planning for Large-Scale Wireless Sensor Networks
5. A Two-Stage Data-Driven Approach for Image-Based Wind Turbine Blade Crack Inspections
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1. Unmanned Aerial Vehicle (UAV)-Assisted Damage Detection of Wind Turbine Blades: A Review;Energies;2024-07-29
2. Vessel intrusion interception utilising unmanned surface vehicles for offshore wind farm asset protection;Ocean Engineering;2024-05
3. Saving Energy and High-Efficient Inspection to Offshore Wind Farm by the Comprehensive-Assisted Drone;International Journal of Energy Research;2024-02-08
4. Offshore Oilfield Inspection Planning With Drone Routing Optimization;IEEE Access;2024
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