Overview
Digital Twins: Enhancing Model-based Design with AR, VR and MR course from edForce. A digital twin is a fully working virtual copy of a real-world system. The Benefits of a digital twin Bridging the virtual and real. In this course you will learn model-based design under the framework of the digital twin and its advanced modelling techniques like AR, VR, and MR.
This is a Rare Course and it can be take up to 3 weeks to arrange the training.
Course Benefits
Upon completion of this course, learners will accomplish the following:-
- Digital Twin in Model-Based Engineering
- Introduction to MATLAB & Simulink
- Digital Twin Simulation
- Introduction to Simscape
- Introduction to Data-Driven modelling
- Digital Twin & AI
- Digital Twin & VR-AR-MR
Course Prerequisites
- Basic Knowledge programing language
Course Outline
Digital Twin in Model-Based Engineering
- Application examples in operations optimisation, control system design, and predictive maintenance
- Cloud & deployment in production systems
Introduction to MATLAB & Simulink
- Analyse data for a digital twin
- Run a Simulink model and interpret results
Digital Twin Simulation
- Approaches to simulation: first principle, componentised, data-driven, simulators
- Generating synthetic data from simulations
Introduction to Simscape
- Create a model for a simple component
- Simulate an electrical fault in a motor
- The role Digital twins in Model Based Systems Engineering (MBSE) recap
Digital Twin & A
- Fit an ML (machine learning) model to create a surrogate model
- Detection