Ikuti
James Carroll
Judul
Dikutip oleh
Dikutip oleh
Tahun
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
7712016
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
2672014
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
1722017
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
1342022
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
1132020
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
1122018
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
852022
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
772022
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
662020
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
612019
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
572018
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
532021
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
482020
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
472022
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
392015
The X-Rotor offshore wind turbine concept
W Leithead, A Camciuc, AK Amiri, J Carroll
Journal of Physics: Conference Series 1356 (1), 012031, 2019
382019
Cost benefit of implementing advanced monitoring and predictive maintenance strategies for offshore wind farms
A Turnbull, J Carroll
Energies 14 (16), 4922, 2021
352021
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
342019
Drivetrain availability in offshore wind turbines
J Carroll, A McDonald, J Feuchtwang, D McMillan
European Wind Energy Association 2014 Annual Conference, 2014
342014
A closed-loop maintenance strategy for offshore wind farms: Incorporating dynamic wind farm states and uncertainty-awareness in decision-making
M Li, X Jiang, J Carroll, RR Negenborn
Renewable and Sustainable Energy Reviews 184, 113535, 2023
312023
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