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Long-term automatic tracking of the modal parameters of an offshore wind turbine drivetrain system in standstill condition
El-Kafafy, M.; Gioia, N.; Guillaume, P.; Helsen, J. (2019). Long-term automatic tracking of the modal parameters of an offshore wind turbine drivetrain system in standstill condition, in: Di Maio, D. (Ed.) Rotating machinery, vibro-acoustics & laser vibrometry, volume 7. pp. 91-99. https://hdl.handle.net/10.1007/978-3-319-74693-7_9
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| Beschikbaar in | Auteurs |
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Documenttype: Congresbijdrage
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| Trefwoord |
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| Author keywords |
Modal parameters; Offshore wind turbine; Drivetrain; Operational modal analysis; Automatic mode tracking |
| Auteurs | | Top |
- El-Kafafy, M.
- Gioia, N.
- Guillaume, P.
- Helsen, J.
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| Abstract |
Modal behavior of a wind turbine is an important design aspect for tackling noise, vibration, and harshness (NVH) issues and validating complex simulation models. This paper focusses long-term modal analysis on an offshore wind turbine (OWT) in stand still conditions. It presents the results of an automated procedure to track the variation of the modal parameters of the drivetrain system of the OWT. The tracking focuses on the continuous monitoring of the resonant frequencies and damping values of the most dominant modes of the drivetrain unit during more than half a day of stand still. The long-term tracking of the natural frequencies and modal damping of the drivetrain vibration modes under distinct ambient conditions allows to better understand the dynamics of the drivetrain by gaining confidence in modal parameters estimated over multiple measurement blocks and helps in gaining understanding in the dynamics of the OWT. The used automatic tracking procedure is based on the well-known parametric operational modal analysis algorithm, pLSCF estimator. The experimental data used in this paper has been obtained during a long-term measurement campaign lasting 6 months on an offshore wind turbine with instrumentation directly mounted on the drivetrain. Both eigenfrequencies and damping values are of particular interest. |
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