2021
DOI: 10.5194/wes-2021-63
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Wind turbine drivetrains: state-of-the-art technologies and future development trends

Abstract: Abstract. This paper presents the state-of-the-art technologies and development trends of wind turbine drivetrains – the energy conversion systems transferring the kinetic energy of the wind to electrical energy – in different stages of their life cycle: design, manufacturing, installation, operation, lifetime extension, decommissioning, and recycling. Offshore development and digitalization are also a focal point in this study. The main aim of this article is to review the drivetrain technology development as… Show more

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Cited by 12 publications
(13 citation statements)
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“…ARIMA, OLS, CUSUM), makes it possible to detect generator bearing failures with a high accuracy. Further information on the current state-of-the-art can be found in [22], [23].…”
Section: Related Workmentioning
confidence: 99%
“…ARIMA, OLS, CUSUM), makes it possible to detect generator bearing failures with a high accuracy. Further information on the current state-of-the-art can be found in [22], [23].…”
Section: Related Workmentioning
confidence: 99%
“…Wind turbine gearboxes used in horizontal axis wind turbine drivetrains continue to grow in size to up to three meters in diameter, power up to 15 MW, and torque-density of 200 newton-meters per kilogram (Vaes, Clement, and Lindstedt 2021;Daners and Nickel 2021;ZF 2021;Winergy 2021;Nejad et al 2021). They are designed for a minimum 20-year design life as specified in the IEC 61400-4 and AGMA 6006 gearbox design standards.…”
Section: Improving Drivetrain Reliability Through Materials and Designmentioning
confidence: 99%
“…Hence, state-of-the-art multi-body simulation (MBS) models of wind turbine drivetrains including virtual test benches [8] and academic reference models [9,10] are generally not capable of real-time simulation. Developing efficient Reduced Order Models (ROM) is identified as one of the major challenges in Predictive Maintenance and Condition Monitoring [11]. ROM are constructed either as data-driven surrogate models [12] or by physical simplification.…”
Section: Introductionmentioning
confidence: 99%