F
Farid Khazaeli Moghadam
Researcher at Norwegian University of Science and Technology
Publications - 11
Citations - 186
Farid Khazaeli Moghadam is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Drivetrain & Turbine. The author has an hindex of 5, co-authored 9 publications receiving 51 citations. Previous affiliations of Farid Khazaeli Moghadam include University of Georgia.
Papers
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Journal ArticleDOI
Online condition monitoring of floating wind turbines drivetrain by means of digital twin
TL;DR: The stochastic degradation model proposed for estimation of real-time fatigue damage in the components is based on a proven model-based approach which is tested under different drivetrain operations, namely normal, faulty and overload conditions.
Posted ContentDOI
Wind turbine drivetrains: state-of-the-art technologies and future development trends
Amir Rasekhi Nejad,Jonathan Keller,Yi Guo,Shawn Sheng,Henk Polinder,Simon J. Watson,Jianning Dong,Zian Qin,Amir Ebrahimi,Ralf Schelenz,Francisco Gerardo Antonio Gutierrez Guzman,Daniel Cornel,Reza Golafshan,Georg Jacobs,Bart Blockmans,Bart Blockmans,Jelle Bosmans,Jelle Bosmans,Bert Pluymers,Bert Pluymers,James Carroll,Sofia Koukoura,Edward Hart,Alasdair McDonald,Anand Natarajan,Jone Torsvik,Farid Khazaeli Moghadam,Pieter-Jan Daems,Timothy Verstraeten,Cédric Peeters,Jan Helsen +30 more
TL;DR: In this paper, the authors present the state-of-the-art technologies and development trends of wind turbine drivetrains in different stages of their life cycle: design, manufacturing, installation, operation, lifetime extension, decommissioning, and recycling.
Journal ArticleDOI
Digital twin modeling for predictive maintenance of gearboxes in floating offshore wind turbine drivetrains
TL;DR: A torsional model of drivetrain system as the digital twin model for monitoring the remaining useful lifetime of the drivetrain components, which can be implemented by integrating with the current turbine control and monitoring system without a need for a new system and sensors installation.
Journal ArticleDOI
Evaluation of PMSG-based drivetrain technologies for 10-MW floating offshore wind turbines: Pros and cons in a life cycle perspective
TL;DR: MoMoghadam et al. as mentioned in this paper presented an in depth evaluation and comparison of three different drivetrain choices based on permanent-magnet synchronous generator (PMSG) technology for 10MW offshore wind turbines.
Journal ArticleDOI
Theoretical and experimental study of wind turbine drivetrain fault diagnosis by using torsional vibrations and modal estimation
TL;DR: Local sensitive analysis shows that abnormal deviations in stiffness and moment of inertia due to the presence of faults result in considerable changes in natural frequencies and modal responses which can be measured and used as fault detecting features by using the proposed analytical approach.