Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society |
| Herausgeber (Verlag) | IEEE Computer Society |
| ISBN (elektronisch) | 9798350331820 |
| ISBN (Print) | 979-8-3503-3183-7 |
| Publikationsstatus | Veröffentlicht - 2023 |
| Veranstaltung | IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society - Singapore, Singapur Dauer: 16 Okt. 2023 → 19 Okt. 2023 |
Publikationsreihe
| Name | IECON Proceedings (Industrial Electronics Conference) |
|---|---|
| ISSN (Print) | 2162-4704 |
| ISSN (elektronisch) | 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.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
Zitieren
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- BibTex
- RIS
IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2023. (IECON Proceedings (Industrial Electronics Conference)).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › 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 - Publisher Copyright: © 2023 IEEE.
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=85205495267&partnerID=8YFLogxK
U2 - 10.1109/IECON51785.2023.10311865
DO - 10.1109/IECON51785.2023.10311865
M3 - Conference contribution
SN - 979-8-3503-3183-7
T3 - IECON Proceedings (Industrial Electronics Conference)
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 -