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Digital Twin Development and Deployment in the Cloud: Developing Cloud-Friendly Dynamic Models Using Simulink®/SimscapeTM and Amazon AWS promotes a physics-based approach to the field of digital twins. Through the use of multiphysics models running in the cloud, significant improvement to the diagnostics and prognostic of systems can be attained. The book draws a clear definition of digital twins, helping business leaders clearly identify the value it brings. In addition, it outlines the key elements needed for deployment, including the hardware and software tools needed. Special attention is paid to the process of developing and deploying the multi-physics models of the digital twins.

  • Provides a high-level overview of digital twins and their underutilization in the field of asset management and maintenance
  • Proposes a streamline process to create digital twins for a wide variety of applications using MATLAB® Simscape™
  • Deploys developed digital twins on Amazon Web Services
  • Includes MATLAB and Simulink codes available for free download on MATLAB central
  • Covers popular prototyping hardwares, such as Arduino and Raspberry Pi

Table of Contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. Acknowledgments
  7. 1. Added value of digital twins and IoT
  8. 2. Cloud and IoT technologies
  9. 3. Digital twin model creation of a robotic arm
  10. 4. Ball on plate modeling
  11. 5. Digital twin model creation of double mass spring damper system
  12. 6. Digital twin model creation of solar panels
  13. 7. Digital twin development for an inverter circuit for motor drive systems
  14. 8. Digital Twin development and cloud deployment for a Hybrid Electric Vehicle
  15. 9. Digital Twin Development and cloud deployment for a DC Motor Control embedded system
  16. 10. Digital twin development and deployment for a wind turbine
  17. Index
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