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Topic 

From Digital Twins to the Twinning Paradigm

Abstract

The Cyber-Physical Systems (of Systems) we design, maintain and above all, evolve, over increasingly long periods of time, are ever growing in complexity. In the meantime, demands on quality, maintainability, sustainability, etc. become more and more stringent. Digital Twins have been shown to enable a host of desirable extra-functional system features such as condition monitoring, fault diagnosis, and predictive maintenance.
There has been a proliferation of terminology, examples and standards for Digital Twins. In this presentation, I will try to unify and structure these under the Twinning umbrella, building on many existing techniques, architectures and standards from real-time simulation and execution, co-simulation, systems and control theory, IoT, knowledge management, machine learning, surrogate modelling, etc.
In the Twinning Paradigm, a Twinning Architecture (a system in its own right) is used whereby a virtual instance of a System under Study (SuS) or asset is continually updated with the SuS's health, performance, maintenance, etc. status information, and this throughout the asset's life cycle (requirements analysis, design, production, assembly, operation and optimization, maintenance, re-purposing, disposal).

I will take a product family/line approach to structure desirable system features, the different workflows and conceptual twinning architectures needed to realize these, and finally, the different means to deploy/realize these architectures.

About the speaker

Hans Vangheluwe is a Professor in the Antwerp Systems and Software Modelling (AnSyMo) group within the Computer Science Department at the University of Antwerp in Belgium. AnSyMo is a Core Research Lab of Flanders Make, the strategic research centre for the Flemish manufacturing industry.

He heads the Modelling, Simulation and Design Lab (MSDL), founded when he was a professor at McGill University in Montreal, Canada. In a variety of projects, often with industrial partners, he develops and applies the model-based theory and techniques of Multi-Paradigm Modelling (MPM) in application domains as diverse as bio-actived sludge waste-water treatment plant.

Your host

Pieter Van Gorp, Associate Professor at the department of Industrial Engineering & Innovation Sciences.

Registration is required but free of charge.