Standardisation of wind turbine SCADA data for gearbox fault detection

Research output: Contribution to conferencePaper

Abstract

This paper 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.

Conference

ConferenceIET Renewable Power Generation
CountryDenmark
CityCopenhagen
Period26/09/1827/09/18
Internet address

Fingerprint

Fault detection
Wind turbines
Standardization
Bearings (structural)
Torque
Health
Temperature

Keywords

  • anomaly detection
  • gearbox
  • standardisation
  • monitoring

Cite this

Ferguson, D., McDonald, A., Carroll, J., & Lee, H. (2018). Standardisation of wind turbine SCADA data for gearbox fault detection. Paper presented at IET Renewable Power Generation, Copenhagen, Denmark.
Ferguson, D ; McDonald, A ; Carroll, J ; Lee, H. / Standardisation of wind turbine SCADA data for gearbox fault detection. Paper presented at IET Renewable Power Generation, Copenhagen, Denmark.6 p.
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Ferguson, D, McDonald, A, Carroll, J & Lee, H 2018, 'Standardisation of wind turbine SCADA data for gearbox fault detection' Paper presented at IET Renewable Power Generation, Copenhagen, Denmark, 26/09/18 - 27/09/18, .

Standardisation of wind turbine SCADA data for gearbox fault detection. / Ferguson, D; McDonald, A; Carroll, J; Lee, H.

2018. Paper presented at IET Renewable Power Generation, Copenhagen, Denmark.

Research output: Contribution to conferencePaper

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AU - McDonald, A

AU - Carroll, J

AU - Lee, H

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N2 - This paper 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.

AB - This paper 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.

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KW - standardisation

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Ferguson D, McDonald A, Carroll J, Lee H. Standardisation of wind turbine SCADA data for gearbox fault detection. 2018. Paper presented at IET Renewable Power Generation, Copenhagen, Denmark.