Performance analysis of tacholess rotation speed estimation methods for condition monitoring of gearboxes of offshore wind farm
Peeters, C.; Antoni, J.; Leclère, Q.; Helsen, J. (2021). Performance analysis of tacholess rotation speed estimation methods for condition monitoring of gearboxes of offshore wind farm, in: ASME 2021 3rd International Offshore Wind Technical Conference. pp. V001T01A019. https://dx.doi.org/10.1115/IOWTC2021-3567
In: (2021). ASME 2021 3rd International Offshore Wind Technical Conference. ASME: USA. ISBN 978-0-7918-8476-8. [no pag.] pp., meer
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| Beschikbaar in | Auteurs |
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Documenttype: Congresbijdrage
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| Auteurs | | Top |
- Peeters, C., meer
- Antoni, J.
- Leclère, Q.
- Helsen, J., meer
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| Abstract |
This paper investigates the efficacy and reliability of three different state-of-the-art rotation speed estimation techniques on a very large set of experimental vibration data originating from thirty offshore wind turbine gearboxes. The three methods include the multi-order probabilistic approach, the phase demodulation method based on the frequency-domain energy operator, and the multi-harmonic demodulation technique. The goal is twofold: to assess statistically the performance of present-day vibration-based rotation speed estimation techniques on challenging experimental data, and to establish indirect rotation speed estimation through vibration data as a viable alternate solution to the conventional solution involving a direct measurement with a physical device such as a tachometer or an angle encoder. The results show that while all three techniques attain satisfying results, the multi-harmonic demodulation technique produces the most accurate speed estimate for the majority of all measurements whilst also being flexible in its usage. |
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