Obtaining and maintaining an accurate digital twin of a dynamical system using artificial intelligence

Press/Media: Public Engagement Activities

Description

Article in the OpenME magazine published by the study association 'Simon Stevin' of the Mechanical Engineering faculty of the Eindhoven University of Technology

Period31 Jul 2023

Media contributions

1

Media contributions

  • TitleObtaining and maintaining an accurate digital twin of a dynamical system using artificial intelligence
    Degree of recognitionLocal
    Media name/outletOpenME
    Media typePrint
    Country/TerritoryNetherlands
    Date31/07/23
    DescriptionA digital twin is a virtual tool (containing a mathematical model) representing a real-world physical system that allows for relatively inexpensive decision-making during its entire lifecycle. Obtaining an accurate digital twin proofs to be difficult in practice, however. Moreover, maintaining its accuracy during the operational life of the system is far from trivial as well. The goal of my PhD project, of which I am currently in the third year, therefore, is to develop a model updating technique that updates a digital twin using data measured on its real-world counterpart. To achieve this, I employ Artificial Intelligence (AI) to learn the complex inverse relations between measured data and underlying parameter values of the model.
    Producer/AuthorStudy association Simon Stevin
    URLhttps://simonstev.in/association/open-me
    PersonsBas M. Kessels

Keywords

  • model updating
  • digital twin
  • machine learning