Gaining Insights in Loading Events for Wind Turbine Drivetrain Prognostics: Paper No. GT2020-15312

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

Research output: Contribution to conferencePaper

1 Scopus Citations

Abstract

Wind energy is one of the largest sources of renewable energy in the world. To further reduce the operations and maintenance (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 etching cracks (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 linking to 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 pages7
DOIs
StatePublished - 2021
EventASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition -
Duration: 21 Sep 202025 Sep 2020

Conference

ConferenceASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition
Period21/09/2025/09/20

Bibliographical note

See NREL/CP-5000-76286 for preprint

NREL Publication Number

  • NREL/CP-5000-79212

Keywords

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

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