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Reliability prediction of an offshore wind turbine gearbox

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  • Bhardwaj, U.
  • Teixeira, A.P.
  • Soares, C. Guedes

Abstract

This paper estimates the failure rate of an offshore wind turbine gearbox based on the data available for similar, known onshore wind turbine systems. The gearbox is one critical element of the wind turbine system and its failure may cause long downtime and consequently high operational and maintenance costs. First, a detailed Failure Mode and Effects Analysis is conducted and then the main Reliability Influencing Factors on the failure causes are identified. A reliability prediction method is then illustrated stepwise to estimate the total failure rate of an offshore wind turbine gearbox. Furthermore, a case study is used to demonstrate the importance of this technique for comparing the failure rate of subsequent components of onshore and offshore wind turbine gearbox. It is expected that the analysis conducted will help in understanding the field performance of offshore wind turbine gearbox in an offshore environment. Also, the approach adopted in this paper can be helpful to predict reliability for other wind turbine components.

Suggested Citation

  • Bhardwaj, U. & Teixeira, A.P. & Soares, C. Guedes, 2019. "Reliability prediction of an offshore wind turbine gearbox," Renewable Energy, Elsevier, vol. 141(C), pages 693-706.
    • Handle: RePEc:eee:renene:v:141:y:2019:i:c:p:693-706
    DOI: 10.1016/j.renene.2019.03.136
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    Cited by:

    1. Li, He & Diaz, H. & Guedes Soares, C., 2021. "A developed failure mode and effect analysis for floating offshore wind turbine support structures," Renewable Energy, Elsevier, vol. 164(C), pages 133-145.
    2. Han Peng & Songyin Li & Linjian Shangguan & Yisa Fan & Hai Zhang, 2023. "Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research," Sustainability, MDPI, vol. 15(10), pages 1-35, May.
    3. Ren, Zhengru & Verma, Amrit Shankar & Li, Ye & Teuwen, Julie J.E. & Jiang, Zhiyu, 2021. "Offshore wind turbine operations and maintenance: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    4. Li, He & Teixeira, Angelo P. & Guedes Soares, C., 2020. "A two-stage Failure Mode and Effect Analysis of offshore wind turbines," Renewable Energy, Elsevier, vol. 162(C), pages 1438-1461.
    5. Weixin Yang & Yu Wang & Kai Liang & Yangfan Zhang & Shiyu Lin & Hongshan Zhao, 2023. "Method for Evaluating the Reliability and Competitive Failure of Wind Turbine Gearbox Bearings Considering the Fault Incubation Point," Energies, MDPI, vol. 16(14), pages 1-16, July.
    6. Francesco Castellani & Luigi Garibaldi & Alessandro Paolo Daga & Davide Astolfi & Francesco Natili, 2020. "Diagnosis of Faulty Wind Turbine Bearings Using Tower Vibration Measurements," Energies, MDPI, vol. 13(6), pages 1-18, March.
    7. Roggenburg, Michael & Esquivel-Puentes, Helber A. & Vacca, Andrea & Bocanegra Evans, Humberto & Garcia-Bravo, Jose M. & Warsinger, David M. & Ivantysynova, Monika & Castillo, Luciano, 2020. "Techno-economic analysis of a hydraulic transmission for floating offshore wind turbines," Renewable Energy, Elsevier, vol. 153(C), pages 1194-1204.
    8. Pan, Yubin & Hong, Rongjing & Chen, Jie & Wu, Weiwei, 2020. "A hybrid DBN-SOM-PF-based prognostic approach of remaining useful life for wind turbine gearbox," Renewable Energy, Elsevier, vol. 152(C), pages 138-154.
    9. Bhardwaj, U. & Teixeira, A.P. & Guedes Soares, C., 2022. "Bayesian framework for reliability prediction of subsea processing systems accounting for influencing factors uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    10. Joseph, Lionel P. & Deo, Ravinesh C. & Prasad, Ramendra & Salcedo-Sanz, Sancho & Raj, Nawin & Soar, Jeffrey, 2023. "Near real-time wind speed forecast model with bidirectional LSTM networks," Renewable Energy, Elsevier, vol. 204(C), pages 39-58.
    11. Li, He & Guedes Soares, C, 2022. "Assessment of failure rates and reliability of floating offshore wind turbines," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    12. Wang, Han & Yan, Jie & Han, Shuang & Liu, Yongqian, 2020. "Switching strategy of the low wind speed wind turbine based on real-time wind process prediction for the integration of wind power and EVs," Renewable Energy, Elsevier, vol. 157(C), pages 256-272.
    13. Afef Fekih & Hamed Habibi & Silvio Simani, 2022. "Fault Diagnosis and Fault Tolerant Control of Wind Turbines: An Overview," Energies, MDPI, vol. 15(19), pages 1-21, September.
    14. Artur Bejger & Ewelina Frank & Przemysław Bartoszko, 2021. "Failure Analysis of Wind Turbine Planetary Gear," Energies, MDPI, vol. 14(20), pages 1-15, October.

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