Wind Energy Science
Wind Energy Science
WES
Articles | Volume 11, issue 10
Articles | Volume 11, issue 10
https://doi.org/10.5194/wes-11-3841-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-11-3841-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 10
Research article
 | 
12 Oct 2026
Research article |  | 12 Oct 2026

Sub-minute fatigue monitoring for enhanced lifetime assessment of wind turbines

Catarina Miranda Oliveira, André Biscaya, João Pedro Santos, Elsa Caetano, and Min Xu

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Short summary
Accurate fatigue damage estimation is central to deciding whether an ageing wind turbine can safely remain in service. The most reliable approach processes continuous high-frequency strain measurements, but the resulting data volumes and costs make it impractical across large fleets. Using 6 months of strain data from an onshore turbine, we show that strongly compressed stress representations recover almost all of the fatigue damage, enabling accurate, data-efficient monitoring at fleet scale.
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