PROSPECT
Autonomous Prognostics of Integrated Systems using AI and ultra-Compact Digital Twinning
Project description
In the rapidly advancing landscape of high-tech systems, the integration of components into systems poses significant reliability challenges. The PROSPECT project aims to address these challenges by the development of an innovative method for the co-design of autonomous monitoring software. The project is dedicated to establishing a real-time Prognostics and Health Management (PHM) methodology using "digital twinning" and AI-based fault recognition. The primary objective is to predict the Remaining Useful Life (RUL) of components or systems, thereby reducing redundancy and enabling proactive maintenance.
Belgium
Katholieke Universiteit Leuven
Belgium
Siemens Industry Software NV
Belgium
Germany
Sweden
The Netherlands
Datacation BV
The Netherlands
Delft University of Technology
The Netherlands
NXP Semiconductors
The Netherlands
Reden BV
The Netherlands