Gaining Insights in Loading Events for Wind Turbine Drivetrain Prognostics: Preprint

Pieter-Jan Daems, Yi Guo, Shawn Sheng, C. Peeters, P. Guillaume, J. Helsen

Research output: Contribution to conferencePaper


Wind energy is one of the largest sources of renewable energy in the world. To further reduce the O&M costs of wind farms, it is essential to be able to accurately pinpoint the root causes of different failure modes of interest. An example of such a failure mode that is not yet fully understood, is White Etch Cracking (WEC). This can cause the bearing lifetime to be reduced to 5-10% of its design value. Multiple hypotheses are available in literature concerning its cause. To be able to validate or disprove these hypotheses, it is essential to have historic high-frequency measurement data (e.g. load and vibration levels) available. In time, this will allow to link the history of the turbine operating data with failure data. This paper discusses the dynamic loading on the turbine during certain events, e.g. emergency stops, run-ups and during normal operating conditions. By combining the number of specific events that each turbine has seen with the severity of each event, it becomes possible to assess which turbines are most likely to show signs of damage.
Original languageAmerican English
Number of pages10
StatePublished - 2020
EventTurbomachinery Technical Conference and Exhibition -
Duration: 21 Sep 202025 Sep 2020


ConferenceTurbomachinery Technical Conference and Exhibition

Bibliographical note

See NREL/CP-5000-79212 for paper as published in proceedings

NREL Publication Number

  • NREL/CP-5000-76286


  • drivetrain
  • gearbox reliability collaborative
  • prognostics
  • white etching cracks
  • wind energy


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