Nous avons le plaisir de vous informer de la visite du Dr. "Bartłomiej Ambrożkiewiczd’" de l’Université de Lublin (Pologne) au sein de notre université.
À cette occasion, il animera une conférence intitulée :
“The Application of Artificial Intelligence in the Diagnostics of Rotational Systems”
Date : Mercredi 3 décembre 2025
Heure : À partir de 15h00
Lieu : Amphithéâtre de l’ENET’Com
Nous invitons tous les étudiants intéressés à y assister.
Cette intervention représente une excellente opportunité d’échange scientifique.
Pour confirmer votre participation, veuillez renseigner les informations demandées dans ce formulaire 
Description de l'intervention :
"This presentation introduces the application of artificial intelligence and data-driven signal analysis for the diagnostics of rotational systems. The talk begins with an overview of predictive maintenance strategies, highlighting the transition from reactive and preventive approaches toward intelligent, condition-based monitoring. Using two representative case studies—electric parking brake (EPB) modules and rolling bearings—the presentation demonstrates how vibration signals collected from piezoelectric sensors can be processed to detect mechanical degradation and classify failure modes.
For EPB modules, experimental measurements conducted with piezoelectric sensors enable the identification of internal component faults, such as damage to the electric motor, pinion gear, or planetary gearbox, without disassembling the unit. Statistical feature extraction and machine-learning classifiers, including Extra Trees, SVM, MLP and XGBoost, achieve high diagnostic accuracy and allow evaluation of optimal sensor placement.
A second case study on rolling bearings examines the influence of internal radial clearance on vibration patterns and fault classification across different operating speeds. Together, these examples highlight the effectiveness of interpretable machine-learning methods in supporting predictive maintenance, reducing downtime, and improving reliability in complex rotating systems."
