Articles | Volume 11, issue 10
https://doi.org/10.5194/wes-11-3841-2026
https://doi.org/10.5194/wes-11-3841-2026
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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Revised manuscript accepted for WES
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Cited articles

Amzallag, C., Gerey, J. P., Robert, J. L., and Bahuaud, J.: Standardization of the rainflow counting method for fatigue analysis, Int. J. Fatigue, 16, 287–293, https://doi.org/10.1016/0142-1123(94)90343-3, 1994. 
Faria, B. R., Sadeghi, N., Dimitrov, N., Kolios, A., and Abrahamsen, A. B.: Inclusion of low-frequency cycles on tower fatigue lifetime assessment through relevant environmental and operational conditions, J. Phys. Conf. Ser., 2767, 042021, https://doi.org/10.1088/1742-6596/2767/4/042021, 2024. 
HBM: Strain gauge 1-LY11-10/350, product data sheet, Hottinger Baldwin Messtechnik GmbH, Darmstadt, Germany, https://www.hbkworld.com/en/products/transducers/strain/experimental-testing/y-series/ly (last access: 6 October 2026), 2022. 
IEC 61400-12-1: Wind turbines-Part 12-1: Power performance measurements of electricity producing wind turbines, IEC 61400-12-1, 2005. 
IEC 61400-13: Wind turbines – Part 13: Measurement of mechanical loads, 1.0, International Electrotechnical Commission, 219 pp., 2015. 
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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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