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Structural Control and Fault Detection of Wind Turbine Systems 2nd edition [Kõva köide]

Edited by (Politecnico di Milano, Department of Mechanical Engineering, Italy)
  • Formaat: Hardback, 350 pages, kõrgus x laius: 234x156 mm
  • Sari: Energy Engineering
  • Ilmumisaeg: 01-Sep-2025
  • Kirjastus: Institution of Engineering and Technology
  • ISBN-10: 1837241449
  • ISBN-13: 9781837241446
  • Formaat: Hardback, 350 pages, kõrgus x laius: 234x156 mm
  • Sari: Energy Engineering
  • Ilmumisaeg: 01-Sep-2025
  • Kirjastus: Institution of Engineering and Technology
  • ISBN-10: 1837241449
  • ISBN-13: 9781837241446

This new edition offers integrated, theoretically thorough treatment of structural control and monitoring of wind turbines is edited by an internationally renowned expert. Updated and new chapters cover all aspects of wind turbine systems at various scales.



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.

This book has established itself as a reliable reference for researchers and engineers in mechatronics and control, specifically for wind power, as well as for manufacturers of wind farm equipment and turbine systems. It conveys theoretical and practical techniques that are instrumental for the control of wind turbine systems, such as load analysis, control concepts, health diagnosis and monitoring, and fuzzy fault tolerant control.

The new edition features revised as well as all-new chapters covering recent advances in the field, on both small turbines and large systems. Topics include numerical and experimental tools for turbine load analysis, health monitoring, control, transformer models, power prediction, robust fuzzy fault tolerant control, and use of digital twins.

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
Hamid Reza Karimi is a professor at the Department of Mechanical Engineering of the Politecnico di Milano, Italy. His research interests include control systems and mechatronics. He is a member of Academia Europaea, a distinguished fellow of the International Institute of Acoustics and Vibration, and fellow of The International Society for Condition Monitoring. His awards include an IEEE Best Paper Award, a Japan Society for the Promotion of Science Award, and an Alexander-von-Humboldt-Stiftung Award.