AI-Enabled Digital Twins: Bridging Design, Simulation, and Operations
Overview
This seminar is an evolution of last year’s digital twin event, and explores the maturity journey of digital twins, from developing standalone simulation models to connected and operational digital representations of physical assets and processes. In addition, we will showcase how agentic AI can accelerate the development and deployment of digital twin models.
We will show how to build a practical digital twin workflow around a triplex pump asset. The session starts with a simulation model of the physical system and demonstrates how it can be used for parameter identification, fault simulation, performance analysis, and architecture validation. We then show how this model can be connected to streaming operational data to support condition monitoring and continuous model updates. The session will also illustrate how this workflow evolves from desktop simulation to an operational digital twin, including how virtual assets can be deployed to test data pipelines and how monitoring algorithms can be prepared for production use.
Highlights
- Develop simulation models and condition monitoring algorithm of assets and processes for analysis and optimization
- Explore the transition from desktop simulation models to operational digital twins
- Leverage agentic AI to accelerate digital twin development workflows
- Learn the best practices in development and operationalization of digital twins
Who Should Attend
Modeling engineers, simulation engineers, data scientists, and technical leads working on fault detection, condition monitoring, predictive maintenance, and industrial AI applications.
About the Presenters
Dmitry Samarkanov is a Senior Application Engineer at MathWorks in Eindhoven, The Netherlands. He helps organizations assess and deploy MATLAB and Simulink applications from desktop through to cloud platforms. Dmitry has more than 10 years of hands-on experience developing cloud native solutions. Prior to joining MathWorks, he architected and deployed web-based cloud applications on to highly complex software systems at ASML. Dmitry holds a Ph.D. in Electrical Engineering and a master’s degree in Business Intelligence.
Vasco Lenzi is a Principal Application Engineer at MathWorks, and specializes in design automation with emphasis on multidomain modelling, control design, verification, and deployment. Prior to MathWorks, Vasco worked as an advanced control development engineer for diesel engines at Liebherr and electric car powertrain developer at EVTEC. He holds a Bachelor’s in Mechanical Engineering and a Masters in Energy Sciences from ETH Zürich.
Agenda
| Time | Title |
12:00 |
Networking Lunch and Registration |
13:00 |
Introduction
|
13:15 |
|
14:00 |
|
14:45 |
Coffee Break |
15:15 |
From Simulink to FMU: Enabling Model Predictive HVAC Control on Rolling Stock |
15:45 |
|
16:15 |
Integrating Digital Twins into an Enterprise Architecture
|
16:45 |
Closing Remarks |
17:00 |
Apéro |
