Digital Twin Development and Deployment on the Cloud
Developing Cloud-Friendly Dynamic Models Using Simulink®/SimscapeTM and Amazon AWS

Promotes a physics-based approach to the field of digital twins

Nassim Khaled (Author), Bibin Pattel (Author), Affan Siddiqui (Author)

9780128216316, Elsevier Science

Paperback, published 27 May 2020

592 pages, Approx. 300 illustrations
22.9 x 15.1 x 3.6 cm, 0.86 kg

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.

1. Added value of digital twins and IoT
2. Cloud and IoT technologies
3. Digital twin model creation of a robotic arm
4. Ball on plate modeling
5. Digital twin model creation of double mass spring damper system
6. Digital twin model creation of solar panels
7. Digital twin development for an inverter circuit for motor drive systems
8. Digital twin development and cloud deployment for a Hybrid Electric Vehicle
9. Digital twin development and cloud deployment for a DC Motor Control embedded system
10. Digital twin development and deployment for a wind turbine
Index

Subject Areas: Artificial intelligence [UYQ], Robotics [TJFM1]