Reliability and O&amp;M key performance indicators of onshore and offshore wind turbines based on field-data analysis

Walgern, Julia; Stratmann, Nils; Horn, Martin; Then, Nathalene W. Y.; Menzel, Moritz; Anderson, Fraser; Kolios, Athanasios; Fischer, Katharina

doi:10.5194/wes-11-1553-2026

Articles | Volume 11, issue 5

https://doi.org/10.5194/wes-11-1553-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-11-1553-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 5

Research article

|

04 May 2026

Research article |

| 04 May 2026

Reliability and O&M key performance indicators of onshore and offshore wind turbines based on field-data analysis

Julia Walgern, Nils Stratmann, Martin Horn, Nathalene W. Y. Then, Moritz Menzel, Fraser Anderson, Athanasios Kolios, and Katharina Fischer

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Cited articles

Anderson, F., Dawid, R., McMillan, D., and Garcia Cava, D.: On the sensitivity of wind turbine failure rate estimates to failure definitions, J. Phys. Conf. Ser., 2626, https://doi.org/10.1088/1742-6596/2626/1/012025, 2023.

Anderson, F., Pelka, K., Walgern, J. L. T., and Fischer, K.: Trends and influencing factors in power-converter reliability of wind turbines: A deepened analysis, IEEE Trans. Power Electron., 1–12, https://doi.org/10.1109/TPEL.2025.3530163, 2025a.

Anderson, F., Walgern, J., and Fischer, K.: Early, Intrinsic and Deterioration Stage Wind Turbine Reliability Models: A Case Study for the Converter System, J. Phys. Conf. Ser., 3131, 012029, https://doi.org/10.1088/1742-6596/3131/1/012029, 2025b.

Artigao, E., Martin-Martinez, S., Ceña, A., Honrubia-Escribano, A., and Gomez-Lazaro, E.: Failure rate and downtime survey of wind turbines located in Spain, IET Renew. Power Gener., 15, 225–236, https://doi.org/10.1049/rpg2.12019, 2021.

Ayyildiz, E. and Erdogan, M.: A comprehensive approach to evaluate risk mitigation strategies in offshore wind farms using spherical fuzzy decision making analysis, Ocean Eng., 221, 118881, https://doi.org/10.1016/j.oceaneng.2024.118881, 2024.