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Condition monitoring by neural network modelling of drive train temperature [Poster]

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posted on 14.09.2016, 13:25 authored by Jannis Weinert, Simon Watson
Condition monitoring by neural network modelling of drive train temperature [Poster]

Funding

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 642108.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

12th EAWE PhD Seminar on Wind Energy in Europe

Citation

WEINERT, J. and WATSON, S.J., 2016. Condition monitoring by neural network modelling of drive train temperature. Presented at the 12th EAWE PhD Seminar on Wind Energy in Europe, Ankara, 25-27th May.

Publisher

European Academy of Wind Energy

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/

Publication date

2016

Notes

This is a poster presented at a conference.

Publisher version

Language

en

Administrator link

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Categories

Keywords

Wind energyCondition MonitoringSCADAArtificial Neural Networks

Licence

CC BY-NC-ND 4.0

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