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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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Investigating the Process of White Etching Crack Initiation in Bearing Steel

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Proceedings ArticleDOI

Overview of and trends in wind turbine generator systems

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Analysis of SCADA data for early fault detection, with application to the maintenance management of wind turbines

TL;DR: In this paper, the authors proposed a wind turbine maintenance management framework which utilizes operation and maintenance data from different sources to combine the benefits of age-based and condition-based maintenance scheduling, and presented a mathematical model called Preventive Maintenance Scheduling Problem with Interval Costs (PMSPIC) with modification for the maintenance optimization considering both age based and condition based failure rate models.
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Impacts of Cyber System on Microgrid Operational Reliability

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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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