Handbook on Digital Twin and Artificial Intelligence Techniques for Rail Applications
eBook - ePub

Handbook on Digital Twin and Artificial Intelligence Techniques for Rail Applications

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Handbook on Digital Twin and Artificial Intelligence Techniques for Rail Applications

About this book

With contributions from experts from around the world, this handbook aims to systemize the existing experience and knowledge that can be used to the development of more efficient and controlled railway systems. As a result, this handbook showcases the modern methods, methodologies and frameworks for the development of DT and AI architectures and apparatus in the area of the existing railway systems and transport engineering tasks. The chapters cover such varied and specialized topics as the processes related to the transformation of a physical twin into a digital twin; the application of data-driven and physics-based simulation approaches in the development of digital twins; asset management application tasks with the implementation of DT and AI; and the experimental and field applications of the DT and AI concepts and technologies in railway transport system design and predictive maintenance tasks.

Handbook on Digital Twin and Artificial Intelligence Techniques for Rail Applications is essential reading for engineers, practitioners and researchers involved in the development of railway transport and transit systems.

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Yes, you can access Handbook on Digital Twin and Artificial Intelligence Techniques for Rail Applications by Maksym Spiryagin,Stefano Bruni,Colin Cole in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Automotive Transportation & Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. Acknowledgments
  8. Declaration
  9. Editors
  10. List of Contributors
  11. Introduction
  12. Chapter 1 Introduction to Digital Twins and Artificial Intelligence
  13. Chapter 2 Architecture Concepts of Digital Twins
  14. Chapter 3 Data Collection and Management for Digital Twins
  15. Chapter 4 Digital Twin Modeling and Simulation
  16. Chapter 5 Development of Data-Driven Digital Twins
  17. Chapter 6 Development of Physics-Based Digital Twin
  18. Chapter 7 Development of Human–Digital Twin Interaction
  19. Chapter 8 Digital Twins for Rail Vehicle Designs
  20. Chapter 9 Digital Twins for Railway Infrastructure Asset Management and Maintenance
  21. Chapter 10 Digital Twins for Train Operation Optimizations
  22. Chapter 11 Digital Twins for Train Operational Safety and Reliability
  23. Chapter 12 Digital Twins for Rail Network Infrastructure
  24. Chapter 13 AI in Digital Twins for Rail Operations
  25. Chapter 14 AI for Rolling Stock
  26. Chapter 15 AI for Rail Infrastructure and Maintenance
  27. Chapter 16 Digital Twin and Artificial Intelligence for Railway Hubs Design and Management
  28. Chapter 17 Ethical Considerations for the Development and Deployment of AI in Rail
  29. Chapter 18 Integration of AI in Digital Twin Technologies
  30. Chapter 19 Future of Digital Twins in the Rail Industry
  31. Chapter 20 Conclusion
  32. Index