With the rapid growth of wind energy worldwide, and the increasing size of wind turbine systems, addressing challenges in their operation and control is becoming increasingly important. These challenges affect all components of wind turbine systems, and require an integrated approach to optimize safety, cost, structural integrity and system survivability, while maintaining the desired performance quality.

• Chapter 1: Introduction to Structural Control and Fault Detection of Wind Turbine Systems
• Chapter 2: Numerical and experimental tools for small wind turbine load analysis
• Chapter 3: Structural Control Concept for Load Reduction of Offshore Wind Turbines
• Chapter 4: Health monitoring of wind turbine: data-based approaches
• Chapter 5: Health monitoring for wind turbine blades based on back propagation neural network and acoustical features
• Chapter 6: Health diagnosis and monitoring of wind turbine: Deep learning-based methods
• Chapter 7: Applying Transformer Models for Structural Health Monitoring: A Proof of Concept on Offshore Wind Turbine Jacket Supports
• Chapter 8: Power prediction of offshore wind turbines based on advanced machine learning methods
• Chapter 9: Robust Fuzzy Fault Tolerant Control Applied to Wind Energy Systems Subject to Sensor Faults
• Chapter 10: Digital Twin-driven Wind Turbine Bearing Transmission System Health Management
• Chapter 11: Toward farm-level health management of wind turbine systems: status and scope for improvements