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Application of the Semi-Markov Processes to Model the Enercon E82-2 Preventive Wind Turbine Maintenance System

Author

Listed:
  • Mirosław Szubartowski

    (Faculty of Mechanical Engineering, Bydgoszcz University of Sciences and Technology, 85-795 Bydgoszcz, Poland)

  • Klaudiusz Migawa

    (Faculty of Mechanical Engineering, Bydgoszcz University of Sciences and Technology, 85-795 Bydgoszcz, Poland)

  • Sylwester Borowski

    (Faculty of Mechanical Engineering, Bydgoszcz University of Sciences and Technology, 85-795 Bydgoszcz, Poland)

  • Andrzej Neubauer

    (Faculty of Mechanical Engineering, Cuiavian University in Włocławek, 87-800 Włocławek, Poland)

  • Ľubomír Hujo

    (Faculty of Special Technology, Trenčianska Univerzita Alexandra Dubčeka v Trenčíne, 911 50 Trencin, Slovakia)

  • Beáta Kopiláková

    (Faculty of Special Technology, Trenčianska Univerzita Alexandra Dubčeka v Trenčíne, 911 50 Trencin, Slovakia)

Abstract

The share of wind energy in the energy mix is continuously increasing. However, a very important issue associated with its generation is the high failure rate of wind turbines. This situation particularly concerns large wind turbines, which are expensive and have a lower tolerance for system damage caused by various failures and faults. Vulnerable components include sensors, electronic control units, electrical systems, hydraulic systems, generators, gearboxes, rotor blades, and so on. As a result, significant emphasis is placed on improving the reliability, availability, and productivity of wind turbines. It is extremely important to detect and identify abnormalities as early as possible and predict potential failures and damages and the remaining useful life of components. One way to ensure turbine efficiency is to plan and implement preventive repairs. This work shows a semi-Markov model of a preventive maintenance system based on Enercon E82-2 wind turbines. The system’s performance quality is evaluated based on profit over time and an asymptotic availability coefficient. The developed model establishes formulas describing the efficiency functions and formulates the conditions for the existence of extremes (maxima) of these functions. Computational examples provided at the end of the paper illustrate the obtained research results. A preventive maintenance model is developed that can be applied to wind turbine hazard prevention (determining optimal times for wind turbine preventive maintenance).

Suggested Citation

  • Mirosław Szubartowski & Klaudiusz Migawa & Sylwester Borowski & Andrzej Neubauer & Ľubomír Hujo & Beáta Kopiláková, 2023. "Application of the Semi-Markov Processes to Model the Enercon E82-2 Preventive Wind Turbine Maintenance System," Energies, MDPI, vol. 17(1), pages 1-16, December.
    • Handle: RePEc:gam:jeners:v:17:y:2023:i:1:p:199-:d:1310202
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    References listed on IDEAS

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    1. Habibi, Hamed & Howard, Ian & Simani, Silvio, 2019. "Reliability improvement of wind turbine power generation using model-based fault detection and fault tolerant control: A review," Renewable Energy, Elsevier, vol. 135(C), pages 877-896.
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    Cited by:

    1. Li, Mingxin & Xu, Zifei & Li, Shen & Kikuchi, Yuka & Dong, You & Gryllias, Konstantinos C. & Baraldi, Piero & Zio, Enrico & Carroll, James, 2026. "Health prognostics and maintenance decision-making for wind energy: A comprehensive overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PA).

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