PROSPECT

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.