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Amir R. Nejad
Amir R. Nejad
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Zitiert von
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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
1812014
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
1042022
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
1012016
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
942022
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
812014
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
732014
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
722015
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
662015
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
612020
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
602021
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
532020
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
512013
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
472019
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
462019
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
412019
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
402016
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
352021
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
312020
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
282021
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
272018
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