| Reliability, availability, maintainability data review for the identification of trends in offshore wind energy applications D Cevasco, S Koukoura, AJ Kolios Renewable and Sustainable Energy Reviews 136, 110414, 2021 | 124 | 2021 |
| 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 | 100 | 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 22 (3), 360-375, 2019 | 99 | 2019 |
| 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 | 54 | 2020 |
| 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 | 52 | 2018 |
| 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 | 30 | 2019 |
| Influence of extended potential-to-functional failure intervals through condition monitoring systems on offshore wind turbine availability S Koukoura, MN Scheu, A Kolios Reliability Engineering & System Safety 208, 107404, 2021 | 26 | 2021 |
| Prediction of wind turbine generator bearing failure through analysis of high‐frequency vibration data and the application of support vector machine algorithms A Turnbull, J Carroll, S Koukoura, A McDonald The Journal of Engineering 2019 (18), 4965-4969, 2019 | 25 | 2019 |
| 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 | 22 | 2021 |
| Effect of time history on normal behaviour modelling using SCADA data to predict wind turbine failures C McKinnon, A Turnbull, S Koukoura, J Carroll, A McDonald Energies 13 (18), 4745, 2020 | 22 | 2020 |
| Open O&M: Robust O&M Open Access Tool for Improving Operation and Maintenance of Offshore wind Turbines JCR Athanasios Kolios, Julia Walgern, Sofia Koukoura, Ravi Pandit Proceedings of the 29th European Safety and Reliability Conference (ESREL), 2019 | 19* | 2019 |
| Prediction of wind turbine generator failure using two‐stage cluster‐classification methodology A Turnbull, J Carroll, A McDonald, S Koukoura Wind Energy 22 (11), 1593-1602, 2019 | 16 | 2019 |
| Investigation of isolation forest for wind turbine pitch system condition monitoring using SCADA data C McKinnon, J Carroll, A McDonald, S Koukoura, C Plumley Energies 14 (20), 6601, 2021 | 13 | 2021 |
| Wind turbine intelligent gear fault identification S Koukoura, J Carroll, A McDonald Annual conference of the phm society, 2017 | 11 | 2017 |
| Investigating parallel multi-step vibration processing pipelines for planetary stage fault detection in wind turbine drivetrains S Koukoura, C Peeters, J Helsen, J Carroll Journal of Physics: Conference Series 1618 (2), 022054, 2020 | 9 | 2020 |
| On the use of AI based vibration condition monitoring of wind turbine gearboxes S Koukoura, J Carroll, A McDonald Journal of physics: conference series 1222 (1), 012045, 2019 | 9 | 2019 |
| Wind turbine gearbox vibration signal signature and fault development through time S Koukoura, J Carroll, S Weiss, A McDonald 2017 25th European Signal Processing Conference (EUSIPCO), 1380-1384, 2017 | 8 | 2017 |
| Spatially disaggregated car ownership prediction using deep neural networks J Dixon, S Koukoura, C Brand, M Morgan, K Bell Future Transportation 1 (1), 113-133, 2021 | 6 | 2021 |
| Investigation of anomaly detection technique for wind turbine pitch systems C McKinnon, J Carroll, A McDonald, S Koukoura, C Plumley IET Digital Library, 2021 | 5 | 2021 |
| Wind turbine gearbox planet bearing failure prediction using vibration data S Koukoura, J Carroll, A McDonald, S Weiss Journal of Physics: Conference Series 1104 (1), 012016, 2018 | 5 | 2018 |
James CarrollUniversity of Strathclyde在 strath.ac.uk 的电子邮件经过验证
