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Method for Evaluating the Reliability and Competitive Failure of Wind Turbine Gearbox Bearings Considering the Fault Incubation Point

Author

Listed:
  • Weixin Yang

    (North China Electric Power Research Institute Co., Ltd., Beijing 100045, China)

  • Yu Wang

    (North China Electric Power Research Institute Co., Ltd., Beijing 100045, China)

  • Kai Liang

    (North China Electric Power Research Institute Co., Ltd., Beijing 100045, China)

  • Yangfan Zhang

    (North China Electric Power Research Institute Co., Ltd., Beijing 100045, China)

  • Shiyu Lin

    (School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China)

  • Hongshan Zhao

    (School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China)

Abstract

Aiming to resolve the problem where the reliability of gearbox bearings of wind turbines is easily affected by random impact, this paper puts forward a reliability evaluation method for the competitive failure of gearbox bearings of wind turbines considering the fault incubation point. Firstly, we use Weibull distribution to simulate the fault latent process of wind turbine gearbox bearings. Secondly, a natural degradation model of gearbox bearing is established based on the Wiener process. Then, we model the random impact arrival frequency and impact intensity through a homogeneous Poisson process and normal distribution, respectively. Finally, based on considering the fault incubation point, the natural degradation of the bearing, the instantaneous degradation caused by impact, and the decline in the impact resistance of the bearing, a reliability evaluation model of gearbox bearings of wind turbines is established. A high-speed bearing of a gearbox from a wind farm in northern China is selected for simulation analysis. The results show that the proposed method can better describe the reliability decline process of the gearbox bearings of wind turbines, which has a specific guiding significance for the maintenance of wind turbines.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:14:p:5261-:d:1190098
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    References listed on IDEAS

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    1. Gao, Hongda & Cui, Lirong & Qiu, Qingan, 2019. "Reliability modeling for degradation-shock dependence systems with multiple species of shocks," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 133-143.
    2. 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.
    3. Wenbin Dong & Yihan Xing & Torgeir Moan, 2012. "Time Domain Modeling and Analysis of Dynamic Gear Contact Force in a Wind Turbine Gearbox with Respect to Fatigue Assessment," Energies, MDPI, vol. 5(11), pages 1-22, November.
    4. Bo Guo, 2023. "Degradation Modeling and Residual Life Prediction Based on Nonlinear Wiener Process," Springer Series in Reliability Engineering, in: Yu Liu & Dong Wang & Jinhua Mi & He Li (ed.), Advances in Reliability and Maintainability Methods and Engineering Applications, pages 445-474, Springer.
    Full references (including those not matched with items on IDEAS)

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