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 | Proceedings of the Annual Conference of the IEEE Industrial Electronics Society |
|---|---|
| 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
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IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2023. (Proceedings of the Annual Conference of the IEEE Industrial Electronics Society).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Vibration Prediction on the Generator Rotor of a Wind Turbine
AU - Zhang, Dapu
AU - Henkenjohann, Jonas
AU - Ponick, Bernd
N1 - Funding Information: This work is part of the project DampedWEA and was funded by the Federal Ministry for Economic Affairs and Climate Action on the basis of a decision by the German Bundestag. Funding number: 03EE2008D.
PY - 2023
Y1 - 2023
N2 - 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.
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.
KW - rotor
KW - vibration prediction
KW - wind turbine
UR - http://www.scopus.com/inward/record.url?scp=85179502882&partnerID=8YFLogxK
U2 - 10.1109/IECON51785.2023.10311865
DO - 10.1109/IECON51785.2023.10311865
M3 - Conference contribution
SN - 979-8-3503-3183-7
T3 - Proceedings of the Annual Conference of the IEEE Industrial Electronics Society
BT - IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
PB - IEEE Computer Society
T2 - IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
Y2 - 16 October 2023 through 19 October 2023
ER -