DROPS

Document

DOI: 10.4230/OASIcs.DX.2024.2

A Model-Based Approach for Monitoring and Diagnosing Digital Twin Discrepancies

Authors: Elaheh Hosseinkhani, Martin Leucker, Martin Sachenbacher, Hendrik Streichhahn, and Lars B. Vosteen

Published in: OASIcs, Volume 125, 35th International Conference on Principles of Diagnosis and Resilient Systems (DX 2024)

Abstract

Recent decades have seen the increasing use of Digital Twins (DTs) - that is, digital models used over the lifetime of a physical product or system for tasks such as predictive maintenance or optimization - in a number of domains such as buildings, manufacturing, or design. DTs face a challenge known as the DT synchronization problem; a DT, often based on machine-learned, or complex simulation models, needs to adequately mirror the physical product or system at all times, as any deviations might affect the quality of predictions or control actions. In this paper, we present a model-based approach that aims to add a level of awareness to DT models by supervising if they are in sync with the physical counterpart. The approach is agnostic to the type of models used in the DT, as long as they are compositional, and based on monitoring critical properties (behavioral or functional aspects) of the system at run-time. In the case violations are detected, it reasons on the DT’s structure to localize and identify parts of the model that cause deviations and need to be adapted. We give a formal description and an implementation of this approach, and illustrate it with an example from building climatisation.

Cite as

Elaheh Hosseinkhani, Martin Leucker, Martin Sachenbacher, Hendrik Streichhahn, and Lars B. Vosteen. A Model-Based Approach for Monitoring and Diagnosing Digital Twin Discrepancies. In 35th International Conference on Principles of Diagnosis and Resilient Systems (DX 2024). Open Access Series in Informatics (OASIcs), Volume 125, pp. 2:1-2:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

Copy BibTex To Clipboard

@InProceedings{hosseinkhani_et_al:OASIcs.DX.2024.2,
  author =	{Hosseinkhani, Elaheh and Leucker, Martin and Sachenbacher, Martin and Streichhahn, Hendrik and Vosteen, Lars B.},
  title =	{{A Model-Based Approach for Monitoring and Diagnosing Digital Twin Discrepancies}},
  booktitle =	{35th International Conference on Principles of Diagnosis and Resilient Systems (DX 2024)},
  pages =	{2:1--2:15},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-356-0},
  ISSN =	{2190-6807},
  year =	{2024},
  volume =	{125},
  editor =	{Pill, Ingo and Natan, Avraham and Wotawa, Franz},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.DX.2024.2},
  URN =		{urn:nbn:de:0030-drops-220944},
  doi =		{10.4230/OASIcs.DX.2024.2},
  annote =	{Keywords: Digital Twins, Runtime Verification, Diagnosis, FDIR, TeSSLa}
}

Search Results

Documents authored by Hosseinkhani, Elaheh

A Model-Based Approach for Monitoring and Diagnosing Digital Twin Discrepancies

Abstract

Cite as

Thanks for your feedback!

Could not send message