AI-Enhanced Predictive Analytics and Reliability Management for Wind Turbine Maintenance
Abstract
Wind power plants are vital for sustainable energy generation, but maintaining their long-term performance is challenging. Artificial intelligence (AI) and digital twin technologies are revolutionizing fault diagnosis and predictive maintenance in wind turbines. The digital twin creates a virtual replica that mirrors real turbine operations, collecting sensor data for precise condition monitoring. AI algorithms analyze this data to predict failures before they occur, reducing maintenance costs and enhancing efficiency and lifespan. These integrated systems enable automated decision-making and self-correction, improving the reliability, stability, and intelligence of future wind power generation systems.
Fields of Study & Subjects
Machine Fault Diagnosis Techniques
Wind Energy Research and Development
Power System Reliability and Maintenance
Publication details
- Journal / source
- Advances in computational intelligence and robotics book series
- Publisher
- IGI Global Scientific Publishing
- Pages
- 191–218
- Publication date
- 25 February 2026
- Document type
- Book chapter