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Journal ArticleDOI

Reliability of wind turbine subassemblies

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TLDR
In this article, the authors investigated the reliability of more than 6000 modern onshore wind turbines and their subassemblies in Denmark and Germany over 11 years and particularly changes in reliability of generators, gearboxes and converters.
Abstract
We have investigated the reliability of more than 6000 modern onshore wind turbines and their subassemblies in Denmark and Germany over 11 years and particularly changes in reliability of generators, gearboxes and converters in a subset of 650 turbines in Schleswig Holstein, Germany. We first start by considering the average failure rate of turbine populations and then the average failure rates of wind turbine subassemblies. This analysis yields some surprising results about which subassemblies are the most unreliable. Then we proceed to consider the failure intensity function variation with time for wind turbines in one of these populations, using the Power Law Process, of three subassemblies; generator, gearbox and converter. This analysis shows that wind turbine gearboxes seem to be achieving reliabilities similar to gearboxes outside the wind industry. However, wind turbine generators and converters are both achieving reliabilities considerably below that of other industries but the reliability of these subassemblies improves with time. The paper also considers different wind turbine concepts. Then we conclude by proposing that offshore wind turbines should be subject to more rigorous reliability improvement measures, such as more thorough subassembly testing, to eliminate early failures. The early focus should be on converters and generators.

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Citations
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Power Electronics Converters for Wind Turbine Systems

TL;DR: In this paper, power converters are classified into single and multicell topologies, with attention to series connection and parallel connection either electrical or magnetic ones (multiphase/windings machines/transformers).
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Trends in Wind Turbine Generator Systems

TL;DR: In this paper, the trends in wind turbine generator systems are discussed and a review of current and possible future generator systems is presented. But the main focus of this paper is on the current state of the art.
Journal ArticleDOI

Wind Turbine Condition Monitoring: State-of-the-Art Review, New Trends, and Future Challenges

TL;DR: In this article, a general review and classification of wind turbine condition monitoring methods and techniques with a focus on trends and future challenges is provided, and interesting insights from this research are used to point out strengths and weaknesses in today's WTCM industry and define research priorities needed for the industry to meet the challenges in wind industry technological evolution and market growth.
Journal ArticleDOI

Failure rate, repair time and unscheduled O&M cost analysis of offshore wind turbines

TL;DR: In this paper, the authors provide failure rates for the overall wind turbine and its sub-assemblies and the failure modes for the components/subassemblies that are the highest contributors to the overall failure rate.
Journal ArticleDOI

Wind turbine condition monitoring: technical and commercial challenges

TL;DR: In this paper, the authors present the wind industry with a detailed analysis of the current practical challenges with existing wind turbine condition monitoring technology, in particular, reliability and value for money.
References
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Book ChapterDOI

Reliability of Wind Turbines

TL;DR: In this paper, the reliability of wind turbines, failures and downtimes for wind turbines and components are discussed, as well as some figures about reliability of WTs, failures, downtimes, and components.
Journal ArticleDOI

Rotor Condition Monitoring for Improved Operational Safety of Offshore Wind Energy Converters

TL;DR: In this paper, Nacelle oscillation spectral analysis methods are applied to monitor the rotor faults mass imbalance and aerodynamic asymmetry, and the developed algorithms have been verified due to their monitoring capabilities and suitability in commercial online condition monitoring systems.
Dissertation

The reliability of wind turbines

F. Spinato
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