Detecting a failure before it occurs: that is the goal of the research being conducted by Antoine Hubermont, a doctoral student at UNamur. This project, named Monsater, is funded by SPW Research as part of the Win4Doc program in collaboration with the space company Telespazio Belgium. It addresses a key strategic challenge: ensuring the reliability of complex systems, particularly in the space sector.
In his research, Antoine Hubermont, a member of naXys (Namur Institute for Complex Systems), focuses specifically on the infrastructure that enables the operation of Galileo, the European satellite navigation system.
“We use it every day, but few people know that we have a European GPS, Galileo, based on a constellation of satellites orbiting more than 23,000 kilometers above Earth,” he explains.
Using artificial intelligence methods, Antoine Hubermont is developing tools capable of predicting the onset of failures.
More specifically, the Monsater project aims to create a platform that allows for visualizing and predicting the status of this equipment, assessing the risk of failure, and identifying anomalies in order to initiate a process to restore their functions. The platform integrates and combines the detection and prediction capabilities of artificial intelligence-based solutions with the technical capabilities of robotic solutions.
In this work, Antoine Hubermont is supervised by Professor Elio Tuci, a member of naXys and professor at the Faculty of Computer Science at UNamur.
Win4Doc is a program established by Wallonia (SPW Research) that enables a Walloon company to hire a researcher to conduct doctoral research in collaboration with a university research unit.
