A wind turbine bearing deterioration model and residual life estimation method using rotational characteristics

Jiahe Lv, Jianwen Tao and Weigang Li

International Journal of Low-Carbon Technologies, 2025, vol. 20, 2052-2061

Abstract: To accurately forecast the degradation trend and remaining useful life (RUL) of wind turbine bearings, a novel degradation model and RUL prediction method that incorporates rotational characteristics are proposed. Firstly, a degradation index H(t) based on the vibration contact theory is introduced for assessing the degree of degradation. Secondly, a hybrid predictor model combining Bidirectional Gated Recurrent Unit (BiGRU) and eXtreme Gradient Boosting (XGBoost) is developed to predict RUL by incorporating the rotational characteristics of the bearing. Experiments using real data from a wind farm in northern China show that H(t) has obvious trend and monotonicity, the error of the RUL prediction method is 1236 hours.

Keywords: degradation modeling; residual life prediction; eXtreme gradient boosting (XGBoost); bidirectional gated recurrent unit (BiGRU); bearings (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:oup:ijlctc:v:20:y:2025:i::p:2052-2061.

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