Intelligent information fusion for safety critical icing detection via machine learning and reliability analysis in wind turbine systems

Key Points

• 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.