Proposals for a practical calibration method for mechanical torque measurement on the wind turbine drive train under test on a test bench

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Zhang, H.; Wenske, J.; Reuter, A.; Neshati, M.: Proposals for a practical calibration method for mechanical torque measurement on the wind turbine drive train under test on a test bench. In: Wind Energy 23 (2020), Nr. 4, S. 1048-1062. DOI: https://doi.org/10.1002/we.2472

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Abstract: 
The mechanical torque input into the wind turbine drive train is a very useful measurement for tests performed on a test bench. To ensure the accuracy and the reliability, an accurate calibration of the torque measurement must be carried out and repeated within a certain period of time. However, owing to the high torque level and large structure size, such a calibration is both expensive and time consuming. To overcome this challenge, a new calibration method is proposed here. The method is based on the electrical power measurement, where a high level of accuracy is much easier to achieve. With the help of a special test process, a relationship between the torque-measuring signal and the electrical power can be established. The process comprises two tests with the drive train running in different operating modes. The calibration is possible by carrying out the same test process on several different torque levels. Detailed uncertainty analysis of the method is presented, whereby the uncertainty can be calculated by means of matrix operation and also numerically. As a demonstration, the implementation of the method on a test bench drive train that contains two 5-MW motors in tandem with the motors operating in a back-to-back configuration is also presented. Finally, some variations on the method and possible ways of achieving better accuracy are discussed. © 2020 The Authors. Wind Energy published by John Wiley & Sons Ltd
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2020
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 17 26.15%
2 image of flag of United States United States 15 23.08%
3 image of flag of China China 11 16.92%
4 image of flag of No geo information available No geo information available 7 10.77%
5 image of flag of Russian Federation Russian Federation 3 4.62%
6 image of flag of Romania Romania 2 3.08%
7 image of flag of Netherlands Netherlands 2 3.08%
8 image of flag of Vietnam Vietnam 1 1.54%
9 image of flag of Canada Canada 1 1.54%
10 image of flag of Brazil Brazil 1 1.54%
    other countries 5 7.69%

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