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Full Description
This book discusses the application of digital twin (DT) in condition monitoring of offshore and onshore wind turbines, including a pertinent framework to explain critical component Condition Monitoring and Fault Diagnosis. Frequently used tools and enabling technologies for DT are briefly discussed while the associated benefits and challenges are analyzed. It identifies the key issues which need to be addressed in the wind energy industry to optimally benefit from DT.
Features:
Exclusive title on application of DT in wind turbine condition monitoring
Develops DT framework for condition monitoring of wind turbine
Discusses industrial applications by wind turbine manufacturers and operators as case studies
Explores the interface between DT technology and condition monitoring
Extensively profiles recommendations for future research
This book is aimed at researchers and professionals in mechanical engineering, plant maintenance, wind engineering, and condition monitoring.
Contents
1. Introduction 2. Evolution and Operation of Wind Turbine Technologies 3. Elements and Approaches to Condition Monitoring 4. Sensor Selection in Condition Monitoring 5. Concept of Digital Twin Technology 6. Design Theories and Application Platforms for Digital Twins 7. Applications of Digital Twin Technology 8. Dimensions of Digital Twin and Its Enabling Technologies for Wind Turbine Applications 9. Internet of Things, Cyber-Physical Systems, Digital Twins, and Artificial Intelligence in Wind Turbine Technology and Condition Monitoring 10. Integrating Digital Twin, Virtual Reality, Augmented Reality in Wind Turbine Condition Monitoring 11. Onshore and Offshore Wind Turbine Technologies 12. Wind Turbine Mechanical Components 13. Failure Analysis of Critical Wind Turbine Components 14. Condition Monitoring System in Wind Turbines 15. Wind Turbine Failure Identification 16. Digital Twin for Wind Turbine Condition Monitoring: Emerging Research Trend 17. Digital Twin Case Studies in Wind Turbines 18. Digital Twins in Wind Turbine Condition Monitoring: Barriers and Open Research Questions



