Standardisation of wind turbine SCADA data for gearbox fault detection

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.

Keywords

• 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