Catégorie : Séminaires projet SDF-PHM2

1 février 2024 @ 13h00 – 14h00 –

7 mars 2024 @ 14h00 – 16h00 –  14:00-14:45 –  Cutting Tool Health Monitoring with Artificial Intelligence par Lorenzo COLANTONIO (PhD candidate, University of MONS, Belgium) Abstract: In the manufacturing industry, the state of the cutting tool is of crucial importance. During machining, the tool inevitably degrades leading to production of suboptimal parts. The degradation of the tool is due to different mechanisms occurring […]

27 mars 2024 @ 8h00 – 12h00 – 8:00-8:05, Introduction – UL, Benoît Iung 8:05-8:10, Introduction – UTongJi, Li Li PhD candidate presentations 8:10-8:35, Critical evolutionary mechanisms of complex manufacturing systems under risk propagation, Ji Peng-Cheng (UTongji) 8:35-8:50, Federated Learning for Prognostics & Health Management, Ilias Abdouni (UL) 8:50-9:15, Application of DRL for complex scheduling problems, Kunhao Chen (UTongji) 9:15-9:40, AI-based machine learning […]

4 avril 2024 @ 13h00 – 14h00 –

16 mai 2024 @ 13h00 – 14h00 – 13:00-13:40 “Quantitative Modeling for Enhanced End-of-Life Management of EV Batteries: The Role of System Dynamics and Agent-Based Approaches”, Alaa SHQAIRAT (PhD candidate, CRAN/UL) 13:40-14:00 « Failure prognostics and predictive maintenance for manufacturing system with sensor data uncertainty », Thanh THAI (PhD candidate, 1st year, CRAN/UL)

6 juin 2024 @ 14h00 – 16h00 –

4 juillet 2024 @ 13h00 – 14h00 – 13:00-13:30 –  “Modelling Degradation And Ageing Phenomena In A Digital Twin Using Profile-Based Stochastic Hybrid Automata”, Gael HEQUET (PhD candidate, Reactor project, CRAN/UL) 13:30-14:00 – « Multi Criteria Importance Measure for Identifying Critical Components of Electro-Hydrogen Generator », Soufian Echabarri (PhD candidate, Cifre EODev, CRAN/UL)