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Intelligent information fusion for safety critical icing detection via machine learning and reliability analysis in wind turbine systems | Synapse
March 3, 2026
Open Access
Intelligent information fusion for safety critical icing detection via machine learning and reliability analysis in wind turbine systems
LP
Lukasz Pawlik
Altarum Institute
Puntos clave
Icing detection improves system reliability and performance through advanced machine learning techniques.
Machine learning models showed a significant reduction in false positives, enhancing operational safety measures.
Assessment using reliability analysis and information fusion techniques identified critical icing events effectively.
This approach may enable better predictive maintenance strategies, though real-world validation is essential.
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Lukasz Pawlik (Wed,) studied this question.
synapsesocial.com/papers/69a75ce2c6e9836116a2621f
https://doi.org/https://doi.org/10.1007/s10791-026-09949-3