Amir R. Nejad
Background and activities
Projects, Job Vacancy, News & Events
Please see Marine System Dynamics and Vibration Lab (MD Lab) for latest projects, job vacancies, news and events.
Background
Dr. Nejad is the co-founder of the Marine System Dynamics and Vibration Lab (MD Lab) at Marine Technology Department, NTNU. Prior joining NTNU, he worked in the industries such as machinery design, mechanical power transmission systems, gear industry, offshore oil & gas and third-party design verification, for more than ten years.
Research
Dr. Nejad is the co-founder and current co-chair of the "Drivetrain Technical Committee" at European Academy of Wind Energy (EAWE), and member of ISO committee on wind turbine drivetrain health monitoring. He is Editorial Board member of "Wind Energy", and "Digital Twin", also Associate Editor of "Wind Energy Science" journals. For current list of projects please see MD Lab.
His current research interests include: Stochastic and Reliability-based Design, Dynamic Modelling, Analysis, Fault Detection and Condition Monitoring of Electro-Mechanical Systems in Marine and Offshore Renewable Applications.
Teaching
- MR8402: Reliability-based design and operation of marine machinery (PhD level)
- TMR4330: Marine machinery design (spring semesters)
- TMR4222: Machinery and maintenance, mechanical vibration (spring semesters)
- TMR4505: Wind turbine drivetrains (part of Wind Turbine specialization course autumn semesters)
- TMR4535: Marine Mechatronics, specialization course (autumn semesters)
Awards and Honors
- Best Lecturer of the Year, 2019-2020, Dept. of Marine Technology, NTNU
- Best Lecturer of the Year, 2015-2016, Dept. of Marine Technology, NTNU
- Best Poster Award, 2016 (for the article by Ghane M., Nejad A.R., et. al), Torque Conference, Munich, Germany
- Best Scientific Content Award, 2014 (for article by Nejad A.R. et. al), EERA DeepWind Conference, Trondheim, Norway
- Nowitech Full Ph.D. Fellowship Award, 2012-2015
- Det Norske Veritas (DNVGL today) Education Fund Award, 2009-2012
- Best Scientific Content Award, Prof. Jahanshahi Conf., Tehran University, 1997
Education
- Postdoctoral Associate, Center for Ships and Ocean Structures (CeSOS), & Center for Autonomous Marine Operations and Systems (AMOS), Dept. of Marine Technology, NTNU
- Ph.D. Marine Technology, Norwegian University of Science & Technology (PhD thesis was assessed by the committee as being within the top 10% international quality level)
- M.Sc. Subsea Engineering, Aberdeen University (with distinction)
- B.Sc. Mechanical Engineering, Tehran University (with honors)
Current Projects & Students
Please see Marine System Dynamics and Vibration Lab (MD Lab).
Misc.
Dr. Nejad's Erdös number is 4. (Amir R. Nejad-->Peter Fogh Odgaard-->Tariq Samad-->Douglas B. West-->Paul Erdös)
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
Journal publications
- (2021) Learning from failures in cruise ship industry: The blackout of Viking Sky in Hustadvika, Norway. Engineering Failure Analysis. vol. 125.
- (2021) Online condition monitoring of floating wind turbines drivetrain by means of digital twin. Mechanical systems and signal processing. vol. 162.
- (2021) Theoretical and experimental study of wind turbine drivetrain fault diagnosis by using torsional vibrations and modal estimation. Journal of Sound and Vibration. vol. 509.
- (2021) Digital twin modeling for predictive maintenance of gearboxes in floating offshore wind turbine drivetrains. Forschung im Ingenieurwesen. vol. 85.
- (2021) Drivetrains on floating offshore wind turbines: lessons learned over the last 10 years. Forschung im Ingenieurwesen. vol. 85.
- (2021) A comparative study of fully coupled and de-coupled methods on dynamic behaviour of floating wind turbine drivetrains. Renewable Energy. vol. 179.
- (2021) Design and Dynamic Analysis of a Compact 10 MW Medium Speed Gearbox for Offshore Wind Turbines. Journal of Offshore Mechanics and Arctic Engineering. vol. 143 (3).
- (2021) A comparative study on the dynamic behaviour of 10 MW conventional and compact gearboxes for offshore wind turbines. Wind Energy. vol. 24 (7).
- (2020) Numerical modeling of the hydraulic blade pitch actuator in a spar‐type floating wind turbine considering fault conditions and their effects on global dynamic responses. Wind Energy. vol. 23 (2).
- (2020) Structural reliability analysis of contact fatigue design of gears in wind turbine drivetrains. Journal of Loss Prevention in the Process Industries. vol. 65.
- (2020) Learning from failures: Accidents of marine structures on Norwegian continental shelf over 40 years time period. Engineering Failure Analysis. vol. 111.
- (2020) Learning from non-failure of Onagawa nuclear power station: an accident investigation over its life cycle. Results in Engineering (RINENG). vol. 8.
- (2020) Evaluation of PMSG-based drivetrain technologies for 10 MW floating offshore wind turbines: pros and cons in a life-cycle perspective. Wind Energy. vol. 23 (7).
- (2020) Natural frequency estimation by using torsional response, and applications for wind turbine drivetrain fault diagnosis. Journal of Physics: Conference Series (JPCS). vol. 1618.
- (2020) Consequences of load mitigation control strategies for a floating wind turbine. Journal of Physics: Conference Series (JPCS). vol. 1669.
- (2020) Recent Advances in Integrated Response Analsysis of Floating Wind Turbines in a Reliability Perspective. Journal of Offshore Mechanics and Arctic Engineering. vol. 142 (5).
- (2020) On Down-Scaled Modelling of Wind Turbine Drivetrains. Journal of Physics: Conference Series (JPCS). vol. 1618 (5).
- (2020) Effects of induction and wake steering control on power and drivetrain responses for 10 MW floating wind turbines in a wind farm. Journal of Physics: Conference Series (JPCS). vol. 1618.
- (2020) Effects of bedplate flexibility on drivetrain dynamics: Case study of a 10 MW spar type floating wind turbine. Renewable Energy. vol. 161.
- (2020) On design, modelling, and analysis of a 10‐MW medium‐speed drivetrain for offshore wind turbines. Wind Energy. vol. 23 (4).