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Standardisation of wind turbine SCADA data for gearbox fault detection

Authors :
David Ferguson
Hyunjoo Lee
James Carroll
Alasdair McDonald
Source :
The Journal of Engineering (2019), The 7th International Conference on Renewable Power Generation
Publication Year :
2019
Publisher :
Institution of Engineering and Technology (IET), 2019.

Abstract

This study presents a method of anomaly detection within a gearbox by way of standardising temperature data. Assessing measured parameters in isolation is not sufficient to detect faults within a wind turbine. This technique uses temperature, rotational speed, and generator torque to detect a bearing fault within the gearbox. Standardising data allows a parameter to be analysed which also takes into consideration the operating state of the wind turbine, therefore providing a more holistic view of the health of the wind turbine and component being monitored.

Details

ISSN :
20513305
Volume :
2019
Database :
OpenAIRE
Journal :
The Journal of Engineering
Accession number :
edsair.doi.dedup.....12725c7f9ae6923ca1b335a158a59402
Full Text :
https://doi.org/10.1049/joe.2018.9319