About this document
Predictive Maintenance for Wind Turbines by arjun.ajit210704 is a document available to read on EtoBox.
This study focuses on using machine learning models, particularly XGBoost, to predict maintenance needs for wind turbine blades, addressing issues of wear and erosion that increase operational costs. The research highlights the advantages of predictive maintenance in reducing downtime and improving energy efficiency, while also suggesting future innovations in condition monitoring and turbine design. Ultimately, the findings advocate for advanced AI-driven solutions to enhance maintenance practices and sust
- Author
- arjun.ajit210704
- Language
- EN