lapisco/Wind_turbine_failure_prediction
Machine learning applied to wind turbines incipient fault detection.
This project helps wind farm operators and maintenance engineers proactively identify early signs of faults in wind turbine generators. By analyzing sensor data from turbines, it can detect incipient issues like short-circuits before they lead to major breakdowns. The output is an alert or classification of a potential fault, enabling timely predictive maintenance. This is ideal for operational technology specialists and engineers responsible for maintaining wind turbine fleets.
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Use this if you need to detect early, subtle electrical faults in wind turbine induction generators to prevent costly downtime and maximize energy production.
Not ideal if you are looking for a general-purpose anomaly detection system for various industrial assets beyond wind turbines.
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Last pushed
Aug 17, 2021
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