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Standardisation of wind turbine SCADA data for gearbox fault detection
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ferguson, David McDonald, Alasdair Carroll, James Lee, Hyoil |
| Copyright Year | 2018 |
| 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. |
| Starting Page | 5147 |
| Ending Page | 5151 |
| Page Count | 5 |
| File Format | PDF HTM / HTML |
| DOI | 10.1049/joe.2018.9319 |
| Volume Number | 2019 |
| Alternate Webpage(s) | https://strathprints.strath.ac.uk/65750/1/Ferguson_etal_RPG_2018_Standardisation_of_Wind_Turbine_SCADA_Data.pdf |
| Alternate Webpage(s) | https://doi.org/10.1049/joe.2018.9319 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
