Articles | Volume 10, issue 9
https://doi.org/10.5194/wes-10-1763-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Research article
| 
01 Sep 2025
Research article |
| 01 Sep 2025
| 01 Sep 2025
Wind turbine gearbox operation monitoring using high-resolution distributed fiber-optic sensing
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Cited articles
Barter, G. E., Sethuraman, L., Bortolotti, P., Keller, J., and Torrey, D. A.: Beyond 15 MW: A cost of energy perspective on the next generation of drivetrain technologies for offshore wind turbines, Appl. Energy, 344, 121272, https://doi.org/10.1016/j.apenergy.2023.121272, 2023.
Carroll, J., Koukoura, S., McDonald, A., Charalambous, A., Weiss, S., and McArthur, S.: Wind turbine gearbox failure and remaining useful life prediction using machine learning techniques, Wind Energy, 22, 360–375, https://doi.org/10.1002/we.2290, 2019.
European Commission (Leyre Azcona (CARSA), S. A. (CARSA), T. L. (CARSA); in cooperation with K. D. (PwC)): SENSING AND MONITORING SYSTEMS FOR OFFSHORE WIND TURBINES Report on promising KETs-based products nr. 8 2 SENSING AND MONITORING SYSTEMS FOR OFFSHORE WIND TURBINES Report on promising KETs-based product nr. 8, 1–24, 2017.
Feng, Y., Qiu, Y., Crabtree, C. J., Long, H., and Tavner, P. J.: Monitoring wind turbine gearboxes, Wind Energy, 16, 728–740, https://doi.org/10.1002/we.1521, 2013.
Guo, J., Shi, Z., Li, H., Zhen, D., Gu, F., and Ball, A. D.: Early Fault Diagnosis for Planetary Gearbox Based Wavelet Packet Energy and Modulation Signal Bispectrum Analysis, Sensors, 18, 2908, https://doi.org/10.3390/s18092908, 2018.
