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A Physics-Guided Bayesian Neural Network for Sensor Fault Detection in Wind Turbines

Predictive maintenance is essential for ensuring the reliability and efficiency of wind energy systems. Traditional deep learning models for sensor fault detection rely solely on data-driven patterns, often lacking interpretability and robustness. This article proposes a Physics-Guided Bayesian Neur...

Täydet tiedot

Tallennettuna:
Päätekijät: MD Azam Khan, Arifur Rahman, Farhad Uddin Mahmud, Kanchon Kumar Bishnu, Hadiur Rahman Nabil, M. F. Mridha, Md. Jakir Hossen
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: IEEE 2025-01-01
Sarja:IEEE Open Journal of the Computer Society
Aiheet:
Predictive maintenance
wind turbines
physics-informed neural networks
Bayesian inference
uncertainty quantification
sensor fault detection
Linkit:https://ieeexplore.ieee.org/document/11027711/
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