Fault detection of wind turbine gearbox using thermal network modelling and SCADA data: Science of Making Torque from Wind (TORQUE) 2020

B. Corley, J. Carroll, A.S. McDonald

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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
Title of host publication Journal of Physics: Conference Series
Subtitle of host publicationThe Science of Making Torque from Wind (TORQUE 2020) 28 September – 2 October 2020, The Netherlands (online)
PublisherIOP Science
Number of pages10
Volume1618
DOIs
Publication statusPublished - 22 Sep 2020

Keywords

  • condition monitoring
  • thermal modelling
  • fault detection
  • operation & maintenance
  • gear box

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