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Amir R. Nejad
Amir R. Nejad
Adresse e-mail validée de ntnu.no - Page d'accueil
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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
1882014
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
1452022
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
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
1132016
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
852014
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
752015
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
752014
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
742021
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
692020
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
652015
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
602020
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
552019
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
532019
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
532013
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
482021
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
412020
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
412016
Digital twin based virtual sensor for online fatigue damage monitoring in offshore wind turbine drivetrains
FC Mehlan, AR Nejad, Z Gao
Journal of Offshore Mechanics and Arctic Engineering 144 (6), 060901, 2022
362022
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
352019
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
322021
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