2017-TPC-0822-TautzWeinert_20170324.pdf (505.7 kB)
Challenges in using operational data for reliable wind turbine condition monitoring
conference contribution
posted on 2017-04-19, 08:52 authored by Jannis Weinert, Simon WatsonOperational data of wind turbines recorded by the Supervisory Control And Data Acquisition (SCADA) system originally intended only for operation and performance monitoring show promise also for assessing the health of the turbines. Using these data for monitoring mechanical components, in particular the drivetrain subassembly with gearbox and bearings, has recently been investigated with multiple techniques. In this paper the advantages and drawbacks of suggested approaches as well as general challenges and limitations are discussed focusing on automated and farm-wide condition monitoring.
Funding
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie SklodowskaCurie grant agreement No 642108 (Advanced Wind Energy Systems Operation and Maintenance Expertise, http://awesome-h2020.eu/).
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
The Twenty-seventh (2017) International Ocean and Polar Engineering ConferenceCitation
TAUTZ-WEINERT, J. and WATSON, S.J., 2017. Challenges in using operational data for reliable wind turbine condition monitoring. The Proceedings of the Twenty-seventh (2017) International Ocean and Polar Engineering Conference, San Francisco, California, USA, June 25-30 2017.Publisher
© International Society of Offshore and Polar Engineers (ISOPE)Version
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Acceptance date
2017-03-29Publication date
2017Notes
This is a conference paper.ISBN
9781880653975ISSN
1098-6189Publisher version
Language
- en