| Failure rate, repair time and unscheduled O&M cost analysis of offshore wind turbines J Carroll, A McDonald, D McMillan Wind energy 19 (6), 1107-1119, 2016 | 769 | 2016 |
| Reliability comparison of wind turbines with DFIG and PMG drive trains J Carroll, A McDonald, D McMillan IEEE Transactions on Energy Conversion 30 (2), 663-670, 2014 | 266 | 2014 |
| Availability, operation and maintenance costs of offshore wind turbines with different drive train configurations J Carroll, A McDonald, I Dinwoodie, D McMillan, M Revie, I Lazakis Wind Energy 20 (2), 361-378, 2017 | 171 | 2017 |
| Wind turbine drivetrains: state-of-the-art technologies and future development trends AR Nejad, J Keller, Y Guo, S Sheng, H Polinder, S Watson, J Dong, Z Qin, ... Wind Energy Science 7 (1), 387-411, 2022 | 129 | 2022 |
| Wind turbine gearbox failure and remaining useful life prediction using machine learning techniques J Carroll, S Koukoura, A McDonald, A Charalambous, S Weiss, ... Wind Energy, 2018 | 112 | 2018 |
| A review of wind turbine main bearings: design, operation, modelling, damage mechanisms and fault detection E Hart, B Clarke, G Nicholas, A Kazemi Amiri, J Stirling, J Carroll, ... Wind Energy Science 5 (1), 105-124, 2020 | 109 | 2020 |
| Operation and maintenance for floating wind turbines: A review J McMorland, M Collu, D McMillan, J Carroll Renewable and Sustainable Energy Reviews 163, 112499, 2022 | 84 | 2022 |
| A multi-objective maintenance strategy optimization framework for offshore wind farms considering uncertainty M Li, X Jiang, J Carroll, RR Negenborn Applied Energy 321, 119284, 2022 | 75 | 2022 |
| Comparison of new anomaly detection technique for wind turbine condition monitoring using gearbox SCADA data C McKinnon, J Carroll, A McDonald, S Koukoura, D Infield, C Soraghan Energies 13 (19), 5152, 2020 | 64 | 2020 |
| Incorporating air density into a Gaussian process wind turbine power curve model for improving fitting accuracy RK Pandit, D Infield, J Carroll Wind Energy 22 (2), 302-315, 2019 | 60 | 2019 |
| Current signature and vibration analyses to diagnose an in-service wind turbine drive train E Artigao, S Koukoura, A Honrubia-Escribano, J Carroll, A McDonald, ... Energies 11 (4), 960, 2018 | 56 | 2018 |
| Combining SCADA and vibration data into a single anomaly detection model to predict wind turbine component failure A Turnbull, J Carroll, A McDonald Wind Energy 24 (3), 197-211, 2021 | 53 | 2021 |
| Wind turbine gearbox condition monitoring based on class of support vector regression models and residual analysis HS Dhiman, D Deb, J Carroll, V Muresan, ML Unguresan Sensors 20 (23), 6742, 2020 | 48 | 2020 |
| A review of operations and maintenance modelling with considerations for novel wind turbine concepts J McMorland, C Flannigan, J Carroll, M Collu, D McMillan, W Leithead, ... Renewable and Sustainable Energy Reviews 165, 112581, 2022 | 47 | 2022 |
| Offshore wind turbine sub-assembly failure rates through time J Carroll, A McDonald, O Barrera Martin, D McMillan, R Bakhshi European Wind Energy Association, 2015 | 38 | 2015 |
| The X-Rotor offshore wind turbine concept W Leithead, A Camciuc, AK Amiri, J Carroll Journal of Physics: Conference Series 1356 (1), 012031, 2019 | 37 | 2019 |
| Comparison of wind turbine gearbox vibration analysis algorithms based on feature extraction and classification S Koukoura, J Carroll, A McDonald, S Weiss IET Renewable Power Generation 13 (14), 2549-2557, 2019 | 34 | 2019 |
| Drivetrain availability in offshore wind turbines J Carroll, A McDonald, J Feuchtwang, D McMillan European Wind Energy Association 2014 Annual Conference, 2014 | 34 | 2014 |
| Cost benefit of implementing advanced monitoring and predictive maintenance strategies for offshore wind farms A Turnbull, J Carroll Energies 14 (16), 4922, 2021 | 33 | 2021 |
| Combination of thermal modelling and machine learning approaches for fault detection in wind turbine gearboxes B Corley, S Koukoura, J Carroll, A McDonald Energies 14 (5), 1375, 2021 | 31 | 2021 |
Alasdair McDonald; A.S. McDonaldSchool of Engineering, University of EdinburghVerified email at ed.ac.uk
