@inproceedings{ad7f082badb44f5084eccb34cceee824,
title = "Performance Analysis of Tacholess Rotation Speed Estimation Methods for Condition Monitoring of Gearboxes of Offshore Wind Farm",
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.",
author = "C{\'e}dric Peeters and J{\'e}r{\"o}me Antoni and Quentin Lecl{\`e}re and Jan Helsen",
year = "2021",
doi = "10.1115/IOWTC2021-3567",
language = "English",
isbn = "978-0-7918-8476-8",
series = "Proceedings of the ASME 2021 3rd International Offshore Wind Technical Conference, IOWTC 2021",
publisher = "American Society of Mechanical Engineers(ASME)",
pages = "1--8",
booktitle = "Performance Analysis of Tacholess Rotation Speed Estimation Methods for Condition Monitoring of Gearboxes of Offshore Wind Farm",
address = "United States",
note = "null ; Conference date: 16-02-2021 Through 17-02-2021",
}