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Standardisation of wind turbine SCADA data for gearbox fault detection
- 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.
- Subjects :
- scada systems
Computer science
TK
condition monitoring
wind turbine scada data
standardising data
020209 energy
data analysis
Energy Engineering and Power Technology
standardisation
02 engineering and technology
Fault (power engineering)
Turbine
Automotive engineering
Fault detection and isolation
law.invention
gears
law
wind turbines
0202 electrical engineering, electronic engineering, information engineering
power system reliability
Torque
signal reconstruction
temperature data
power engineering computing
Wind power
Bearing (mechanical)
gearbox fault detection
business.industry
020208 electrical & electronic engineering
General Engineering
Condition monitoring
fault diagnosis
fuzzy reasoning
anomaly detection
bearing fault
lcsh:TA1-2040
Anomaly detection
lcsh:Engineering (General). Civil engineering (General)
business
Software
Subjects
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