Fault detection of wind turbine gearbox using thermal network modelling and SCADA data

B. Corley, J. Carroll, A. Mcdonald

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
9 Downloads (Pure)


This work uses a detailed understanding of the physics inside a wind turbine gearbox and SCADA temperature data as an alternative to data-driven techniques for fault detection. Thermal modelling based on the principles of heat transfer theory is used with the aim of understanding the thermal behaviour of a ‘healthy’ gearbox and use it to detect abnormal gearbox operating conditions. Data for turbines, 'healthy' and one month to fail, are analysed for two different failure modes to see if a fault can be detected in advance with the aim to improve physical understanding of wind turbine gearbox operation and condition monitoring techniques.
Original languageEnglish
Article number022042
Number of pages10
JournalJournal of Physics: Conference Series
Publication statusPublished - 21 Sep 2020


  • fault detection
  • thermal modelling
  • thermal behaviour

Cite this