Unmanned Aerial Vehicle for Wind-Turbine Inspection. Next Step: Offshore

被引:8
作者
Dias, A. [1 ]
Almeida, J.
Oliveira, A.
Santos, T.
Martins, A.
Silva, E.
机构
[1] Inst Syst & Comp Engn Technol & Sci, INESC TEC, Porto, Portugal
来源
2022 OCEANS HAMPTON ROADS | 2022年
基金
欧盟地平线“2020”;
关键词
Offshore; UAV; Wind Turbine Inspection; LiDAR;
D O I
10.1109/OCEANS47191.2022.9977308
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Offshore wind turbine application has been widespread in the last years, with an estimation that in 2030 will reach a total capacity of 234GW. Offshore wind farms introduce advantages in terms of environmental impact (noise, impact on birds, disrupted landscapes) and energy production (34% onshore and 43% offshore). Still, they also introduce scientific challenges in developing methodologies that allow wind farm inspection (preventive maintenance) safety for humans. This paper presents a UAV approach for autonomous inspection of inland windturbine and describes the field tests in Penela, Portugal. From the state-of-the-art available wind turbine inspection, in 2015, we carried out the first autonomous inspection with a UAV. The inspection of wind blades offshore is an ongoing project; therefore, the paper also presents the preliminary results with a simulation environment to validate the 3D LiDAR and the inspection procedure with new challenges effects: floating platform, wind gusts, and unknown initial blade position.
引用
收藏
页数:6
相关论文
共 9 条
[1]  
Azevedo F, 2017, 2017 EUROPEAN CONFERENCE ON MOBILE ROBOTS (ECMR)
[2]   Autonomous Wind-Turbine Blade Inspection Using LiDAR-Equipped Unmanned Aerial Vehicle [J].
Car, Marko ;
Markovic, Lovro ;
Ivanovic, Antun ;
Orsag, Matko ;
Bogdan, Stjepan .
IEEE ACCESS, 2020, 8 :131380-131387
[3]   Damage detection techniques for wind turbine blades: A review [J].
Du, Ying ;
Zhou, Shengxi ;
Jing, Xingjian ;
Peng, Yeping ;
Wu, Hongkun ;
Kwok, Ngaiming .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2020, 141
[4]  
GWEC, 2020, GLOB WIND EN COUNC G
[5]  
Kanellakis C., 2019, ARXIV
[6]   Cooperative coverage path planning for visual inspection [J].
Mansouri, Sina Sharif ;
Kanellakis, Christoforos ;
Fresk, Emil ;
Kominiak, Dariusz ;
Nikolakopoulos, George .
CONTROL ENGINEERING PRACTICE, 2018, 74 :118-131
[7]  
Oliveri A, 2019, INT C SYNTH MODEL AN, P169, DOI [10.1109/SMACD.2019.8795270, 10.1109/smacd.2019.8795270]
[8]   Unmanned Aerial Drones for Inspection of Offshore Wind Turbines: A Mission-Critical Failure Analysis [J].
Shafiee, Mahmood ;
Zhou, Zeyu ;
Mei, Luyao ;
Dinmohammadi, Fateme ;
Karama, Jackson ;
Flynn, David .
ROBOTICS, 2021, 10 (01) :1-27
[9]  
Xu S., 2015, ARXIV