Vibration Prediction on the Generator Rotor of a Wind Turbine

Dapu Zhang; Jonas Henkenjohann; Bernd Ponick

doi:10.1109/IECON51785.2023.10311865

Details

Original language	English
Title of host publication	IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE Computer Society
ISBN (electronic)	9798350331820
ISBN (print)	979-8-3503-3183-7
Publication status	Published - 2023
Event	IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society - Singapore, Singapore Duration: 16 Oct 2023 → 19 Oct 2023

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
ISSN (Print)	2162-4704
ISSN (electronic)	2577-1647

Abstract

In this paper, a time-efficient approach to predict vibrations on the stator of electrical machines is extended to predict vibrations on the generator rotor of a wind turbine. Nodal and lumped force methods to projecting forces on the mechanical structure are discussed and compared with pure FEA solution. Furthermore, node reduction technique is employed at the rotor side to reduce computational efforts. Finally, predicted vibrations are compared with experimental results.

Keywords

rotor, vibration prediction, wind turbine

ASJC Scopus subject areas

Engineering(all)
Control and Systems Engineering
Engineering(all)
Electrical and Electronic Engineering

Cite this

Vibration Prediction on the Generator Rotor of a Wind Turbine. / Zhang, Dapu; Henkenjohann, Jonas; Ponick, Bernd.
IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2023. (IECON Proceedings (Industrial Electronics Conference)).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Zhang, D, Henkenjohann, J & Ponick, B 2023, Vibration Prediction on the Generator Rotor of a Wind Turbine. in IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society. IECON Proceedings (Industrial Electronics Conference), IEEE Computer Society, IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, 16 Oct 2023. https://doi.org/10.1109/IECON51785.2023.10311865

Zhang, D., Henkenjohann, J., & Ponick, B. (2023). Vibration Prediction on the Generator Rotor of a Wind Turbine. In IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society (IECON Proceedings (Industrial Electronics Conference)). IEEE Computer Society. https://doi.org/10.1109/IECON51785.2023.10311865

Zhang D, Henkenjohann J, Ponick B. Vibration Prediction on the Generator Rotor of a Wind Turbine. In IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society. 2023. (IECON Proceedings (Industrial Electronics Conference)). doi: 10.1109/IECON51785.2023.10311865

Zhang, Dapu ; Henkenjohann, Jonas ; Ponick, Bernd. / Vibration Prediction on the Generator Rotor of a Wind Turbine. IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2023. (IECON Proceedings (Industrial Electronics Conference)).

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abstract = "In this paper, a time-efficient approach to predict vibrations on the stator of electrical machines is extended to predict vibrations on the generator rotor of a wind turbine. Nodal and lumped force methods to projecting forces on the mechanical structure are discussed and compared with pure FEA solution. Furthermore, node reduction technique is employed at the rotor side to reduce computational efforts. Finally, predicted vibrations are compared with experimental results.",

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Download

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AB - In this paper, a time-efficient approach to predict vibrations on the stator of electrical machines is extended to predict vibrations on the generator rotor of a wind turbine. Nodal and lumped force methods to projecting forces on the mechanical structure are discussed and compared with pure FEA solution. Furthermore, node reduction technique is employed at the rotor side to reduce computational efforts. Finally, predicted vibrations are compared with experimental results.

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Research@Leibniz University