Measurement uncertainty of radiated electromagnetic emissions in in situ tests of wind energy conversion systems

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Koj, S.; Hoffmann, A.; Garbe, H.: Measurement uncertainty of radiated electromagnetic emissions in in situ tests of wind energy conversion systems. In: Advances in Radio Science 16 (2018), S. 13-22. DOI:

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Sum total of downloads: 270

The electromagnetic (EM) emissions of wind energy conversion systems (WECS) are evaluated in situ. Results of in situ tests, however, are only valid for the examined equipment under test (EUT) and cannot be applied to series production as samples, as the measurement uncertainty for in situ environment is not characterized. Currently measurements must be performed on each WECS separately, this is associated with significant costs and time requirement to complete. Therefore, in this work, based on the standard procedure according to the <q>Guide to the Expression of Uncertainty</q> (GUM, 2008) the measurement uncertainty is characterized. From current normative situation obtained influences on the measurement uncertainty: wind velocity and undefined ground are evaluated. The influence of increased wind velocity on the measurement uncertainty is evaluated with an analytical approach making use of the dipole characteristic. A numerically evaluated model provides information about the expected uncertainty due to reflection on different textures and varying values of relative ground moisture. Using a classical reflection law based approach, the simulation results are validated. Thanks to the presented methods, it is possible to successfully characterize the measurement uncertainty of in situ measurements of WECS's EM emissions.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2018
Appears in Collections:Fakultät für Elektrotechnik und Informatik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 202 74.81%
2 image of flag of United States United States 38 14.07%
3 image of flag of No geo information available No geo information available 4 1.48%
4 image of flag of China China 4 1.48%
5 image of flag of Canada Canada 4 1.48%
6 image of flag of Russian Federation Russian Federation 3 1.11%
7 image of flag of Czech Republic Czech Republic 3 1.11%
8 image of flag of France France 2 0.74%
9 image of flag of Ukraine Ukraine 1 0.37%
10 image of flag of Austria Austria 1 0.37%
    other countries 8 2.96%

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