Predictive Maintenance for Wind Turbines Using Sensor Data

Entreprise partenaire — révélée une fois votre stage confirmé

Compétences recherchées

Sujet du stage

Catching turbine failures before they happen saves costly downtime — this project builds a predictive maintenance model from real sensor data. What you'll work on : • Build a predictive model flagging early signs of turbine component failure from sensor data • Evaluate the model against historical failure records • Document the key indicators driving each prediction What we're looking for : • Solid working knowledge of React/Next.js expected. • Familiarity with Anomaly Detection is a plus. • Attention to detail and clear documentation habits. What you'll get : • A technical mentor available for questions, based on a progress report you send in • A real-world project you can showcase in your portfolio • Completion certificate issued based on project progress • Top-performing candidates may be recommended for pre-hire or job opportunities