Experimental investigation of the relation between operating conditions and offshore wind turbine drivetrain dynamics
Kestel, K.; Peeters, C.; Vratsinis, K.; Matthys, J.J.; Sterckx, J.; Daems, P.J.; Helsen, J. (2024). Experimental investigation of the relation between operating conditions and offshore wind turbine drivetrain dynamics. Journal of Physics: Conference Series 2875: 012020. https://dx.doi.org/10.1088/1742-6596/2875/1/012020
In: Journal of Physics: Conference Series. IOP Publishing: Bristol. ISSN 1742-6588; e-ISSN 1742-6596, meer
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| Auteurs | | Top |
- Kestel, K.
- Peeters, C., meer
- Vratsinis, K.
- Matthys, J.J., meer
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- Sterckx, J.
- Daems, P.J., meer
- Helsen, J., meer
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| Abstract |
This study investigates the impact of operating and environmental conditions on the vibration induced on an offshore wind turbine drivetrain. Furthermore, it explores the role of the dynamic response of the global wind turbine structure to vibration on the drivetrain. A prolonged experimental campaign dedicated to condition monitoring the drivetrain provides experimental vibration signals. These vibration signals are acquired under varying operating conditions across multiple locations of an offshore wind turbine drivetrain of a Belgian Offshore Wind farm and serve as the basis for analysis. The signals' statistics facilitate establishing connections between dynamic behaviour and operational variables, such as active power, rotor speed, blade pitch angle, and turbulence intensity, sampled at every second and provided by Fast-SCADA. The initial phase of the analysis involves a comprehensive examination of various statistical properties of the vibration signals to link the drivetrain's dynamic response to operational conditions. This exploration includes both active and standstill periods of the wind turbine. A comprehensive summary that relates the global vibration characteristics with the operating conditions is formed by scrutinizing the overall vibration signals. In the study's second phase, a detailed investigation is conducted on the vibration signals recorded during standstill conditions. Investigation of standstill data ensures that the structural modes' spectral content does not interfere with the machines' kinematic content. The analysis of standstill data proceeds from determining the most energetic resonance frequencies through the average power spectral density of the vibration signals. These identified frequency bands enable a thorough exploration, revealing the interlink between the offshore wind turbine drivetrain's dynamic response and the operating/environmental conditions. |
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