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September 5, 2025EnergiesOpen Access

LLMs in Wind Turbine Gearbox Failure Prediction

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LLMs significantly improve predictive maintenance strategies for wind turbine gearboxes, enhancing efficiency.
DeepSeek-V3's ML pipeline outperformed both GPT-4o and baseline models in accuracy with superior F1-scores.
The analysis utilized a labelled SCADA dataset to classify gearbox conditions through advanced machine learning techniques.
Results highlight the potential of LLMs in developing effective strategies for reducing operational and maintenance costs.

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Comparative evaluation of LLMs showcases improved predictive maintenance for wind turbine gearboxes, suggesting enhanced operational efficiency.

Tan et al. (2025) studied this question.

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Comparative evaluation of LLMs showcases improved predictive maintenance for wind turbine gearboxes, suggesting enhanced operational efficiency.