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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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Diagnostic monitoring of drivetrain in a 5 MW spar-type floating wind turbine using Hilbert spectral analysis

TL;DR: In this article, the authors investigated the frequency-based fault detection of a 5MW spar-type floating wind turbine (WT) gearbox using measurements of the global responses, which were utilized as inputs to a high-fidelity gearbox model developed using a multi-body simulation software (SIMPACK).
Proceedings ArticleDOI

Wind turbulence impacts to onshore and offshore wind turbines gearbox fatigue life

TL;DR: In this paper, the authors quantified gearbox load spectrum variation and cumulative fatigue damage to predict gearbox service life in wind turbines, which can be used for offshore wind turbine gearbox design optimization.
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A novel blind deconvolution based on sparse subspace recoding for condition monitoring of wind turbine gearbox

TL;DR: The consequences demonstrate that the proposed SSRBD approach overcomes the dependence of prior information and domain knowledge, while extracts the fault feature more effectively than the state-of-the-art methods.
References
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Journal ArticleDOI

Comparison of direct-drive and geared generator concepts for wind turbines

TL;DR: The DFIG1G seems the most attractive in terms of energy yield divided by cost, but the DDPMG has the highest energy yield, but although it is cheaper than the DDSG, it is more expensive than the generator systems with gearbox.
Journal ArticleDOI

Survey of Failures in Wind Power Systems With Focus on Swedish Wind Power Plants During 1997–2005

TL;DR: In this paper, the authors present results from an investigation of failure statistics from four sources, i.e. two separate sources from Sweden, one from Finland, and one from Germany, revealing reliability performance of the different components within the wind turbine.
Journal ArticleDOI

Reliability analysis for wind turbines

TL;DR: In this paper, the reliability of wind turbine components from historic German and Danish data has been analyzed using reliability analysis methods which are not only applicable to wind turbines but relate to any repairable system.
Book

Statistical Methods for the Reliability of Repairable Systems

TL;DR: Terminology and Notation for Repairable Systems and Probabilistic Models: The Poisson Process are reviewed.
Journal ArticleDOI

Condition monitoring and fault diagnosis of a wind turbine synchronous generator drive train

TL;DR: In this article, the application of wavelet transforms is investigated in the light of the disadvantages of spectral analysis in processing signals subject to the stochastic effects of the wind, and the technique can be used to monitor generator electrical and drive train mechanical faults.
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