Standardisation of wind turbine SCADA data for gearbox fault detection. Issue 18 (18th June 2019)

• Record Type: Journal Article
• Authors: Ferguson, David; McDonald, Alasdair; Carroll, James; Lee, Hyunjoo
• Is Part Of: Journal of engineering. Volume 2019:Issue 18(2019)
• Page Start: 5147
• Page End: 5151
• Publication Date: 2019-06-18
• Subjects: gears -- fault diagnosis -- power engineering computing -- signal reconstruction -- power system reliability -- wind turbines -- data analysis -- fuzzy reasoning -- SCADA systems -- condition monitoring; standardisation -- wind turbine SCADA data -- gearbox fault detection -- anomaly detection -- temperature data -- bearing fault -- standardising data; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2018.9319
• Languages: English
• ISSNs: 2051-3305

Abstract

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.