On long-term fatigue damage and reliability analysis of gears under wind loads in offshore wind turbine drivetrains AR Nejad, Z Gao, T Moan International Journal of Fatigue 61, 116-128, 2014 | 181 | 2014 |
Online condition monitoring of floating wind turbines drivetrain by means of digital twin FK Moghadam, AR Nejad Mechanical Systems and Signal Processing 162, 108087, 2022 | 109 | 2022 |
Development of a 5 MW reference gearbox for offshore wind turbines AR Nejad, Y Guo, Z Gao, T Moan Wind energy 19 (6), 1089-1106, 2016 | 102 | 2016 |
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 | 99 | 2022 |
Fatigue Reliability-Based Inspection and Maintenance Planning of Gearbox Components in Wind Turbine Drivetrains AR Nejad, Z Gao, T Moan Energy Procedia 53, 248 – 257, 2014 | 81 | 2014 |
A prognostic method for fault detection in wind turbine drivetrains AR Nejad, PF Odgaard, Z Gao, T Moan Engineering Failure Analysis 42, 324-336, 2014 | 74 | 2014 |
Stochastic dynamic load effect and fatigue damage analysis of drivetrains in land-based and TLP, spar and semi-submersible floating wind turbines A Rasekhi Nejad, EE Bachynski, MI Kvittem, C Luan, Z Gao, T Moan Marine Structures 42, 137–153, 2015 | 72 | 2015 |
Effects of floating sun gear in a wind turbine's planetary gearbox with geometrical imperfections AR Nejad, Y Xing, Y Guo, J Keller, Z Gao, T Moan Wind Energy 18 (12), 2105-2120, 2015 | 66 | 2015 |
Digital twin modeling for predictive maintenance of gearboxes in floating offshore wind turbine drivetrains FK Moghadam, GFS Rebouças, AR Nejad Forschung im Ingenieurwesen 85 (2), 273-286, 2021 | 61 | 2021 |
On design, modelling, and analysis of a 10‐MW medium‐speed drivetrain for offshore wind turbines S Wang, AR Nejad, T Moan Wind Energy 23 (4), 1099-1117, 2020 | 61 | 2020 |
Evaluation of PMSG‐based drivetrain technologies for 10‐MW floating offshore wind turbines: Pros and cons in a life cycle perspective FK Moghadam, AR Nejad Wind Energy 23 (7), 1542-1563, 2020 | 55 | 2020 |
Long-term analysis of gear loads in fixed offshore wind turbines considering ultimate operational loadings AR Nejad, Z Gao, T Moan Energy Procedia 35, 187-197, 2013 | 51 | 2013 |
On digital twin condition monitoring approach for drivetrains in marine applications SS Johansen, AR Nejad International Conference on Offshore Mechanics and Arctic Engineering 58899 …, 2019 | 47 | 2019 |
Effect of axial acceleration on drivetrain responses in a spar-type floating wind turbine AR Nejad, EE Bachynski, T Moan Journal of Offshore Mechanics and Arctic Engineering 141 (3), 031901, 2019 | 46 | 2019 |
On risk of digital twin implementation in marine industry: Learning from aviation industry M Ibrion, N Paltrinieri, AR Nejad Journal of Physics: Conference Series 1357 (1), 012009, 2019 | 42 | 2019 |
Statistical fault diagnosis of wind turbine drivetrain applied to a 5MW floating wind turbine M Ghane, AR Nejad, M Blanke, Z Gao, T Moan Journal of Physics: Conference Series 753 (5), 052017, 2016 | 40 | 2016 |
Learning from failures in cruise ship industry: The blackout of Viking Sky in Hustadvika, Norway M Ibrion, N Paltrinieri, AR Nejad Engineering Failure Analysis 125, 105355, 2021 | 36 | 2021 |
Learning from failures: Accidents of marine structures on Norwegian continental shelf over 40 years time period M Ibrion, N Paltrinieri, AR Nejad Engineering Failure Analysis 111, 104487, 2020 | 32 | 2020 |
Theoretical and experimental study of wind turbine drivetrain fault diagnosis by using torsional vibrations and modal estimation FK Moghadam, AR Nejad Journal of Sound and Vibration 509, 116223, 2021 | 29 | 2021 |
Condition monitoring of spar‐type floating wind turbine drivetrain using statistical fault diagnosis M Ghane, A Rasekhi Nejad, M Blanke, Z Gao, T Moan Wind Energy 21 (7), 575-589, 2018 | 27 | 2018 |