We are pleased to announce that Dr. Bartłomiej Ambrożkiewicz from the University of Lublin (Poland) will be visiting our university. On this occasion, he will give a lecture entitled:“The Application of Artificial Intelligence in the Diagnostics of Rotational Systems”
Date: Wednesday, December 3, 2025Time: Starting at 3:00 p.m.
Location: ENET'Com Amphitheater
We invite all interested students to attend.
This lecture represents an excellent opportunity for scientific exchange.To confirm your participation, please fill out the information requested in this form 
Description :
"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."
