Work

JNI5 – Digital Twins for Assessing, Managing, and Improving the R3 of Critical Systems: Dynamic Uncertainty Management in Digital Twin Engineering for Enhancing the Robustness and Resilience of Industrial Systems

Year: 2024

Type: conference-paper

Abstract: The poster provides a concise overview of IRT SystemX's JNI5 project and associated doctoral research. This project aims to improve the reliability, robustness and resilience (R³) of critical industrial systems using numerical twins. The main objective of the PhD thesis is to improve the R³ of these systems while managing the uncertainties affecting their five fundamental dimensions: physical entity, virtual entity, data, services and communication.

Source: HAL

Authors: Tiali, Bouthayna El Bouzaidi, Kallel, Achraf, Creff, Stephen, Anwer, Nabil

Institutions: Institut de Recherche Technologique SystemX, Laboratoire Universitaire de Recherche en Production Automatisée

Language: English

Topic: Digital Transformation in Industry

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W7207513657

FWCI:

Cites:

Cited by:

Related to: 10