AI-Driven Predictive Maintenance for Wind Turbines

Our company operates within the Solar & Wind Energy sector, focusing on optimizing energy production and minimizing downtime for our wind farms. We seek an AI & Machine Learning solution to implement a predictive maintenance system for wind turbines. The targeted solution will utilize predictive analytics to anticipate potential equipment failures before they occur, thus avoiding costly repairs and unplanned downtime. The project will involve deploying computer vision and edge AI technologies to monitor turbine performance in real-time. By processing data from sensors and cameras through advanced AI models, the system will detect anomalies and predict maintenance requirements. Technologies like the OpenAI API and TensorFlow will be crucial in developing machine learning models, while utilizing PyTorch for model training and fine-tuning. The solution will need to integrate seamlessly with existing infrastructure and provide actionable insights through user-friendly dashboards. Our goal is to enhance the reliability and efficiency of our wind energy operations, ultimately resulting in increased energy output and reduced operational costs.