From March 4–5, 2025, we had the pleasure of participating in the 51st Ogólnopolskie Sympozjum Diagnostyka Maszyn in the beautiful and peaceful city of Wisła, nestled in the heart of the mountains.
Over two inspiring days, we connected with academic and industrial partners, as well as old and new friends, from across Poland to share knowledge and perspectives on predictive maintenance, signal processing, and artificial intelligence.
Our group proudly presented four posters during the poster session, showcasing the cutting-edge work being done at the DMC Lab. It was a fantastic opportunity to spark meaningful discussions, exchange expertise, and explore new collaborations.
Beyond the technical sessions, it was also a moment to reconnect with colleagues, form new friendships, and enjoy the serene mountain atmosphere that made this symposium truly special.
- Modelling and analysis of long-term historical data of time-varying complex systems in the presence of impulsive noise for condition monitoring
Hamid Shiri, Radosław Zimroz, Agnieszka Wyłomańska
- A methodology for evaluation of machine health prognosis quality
Daniel Kuzio, Radosław Zimroz, Tomasz Barszcz, Agnieszka Wyłomańska
- An improved envelope spectrum via optimized fault frequency identification-gram for bearing fault diagnosis
Justyna Hebda-Sobkowicz
- The Health Index extraction from long-term data using tensor decomposition of Cyclic Spectral Coherence maps under non-Gaussian noise
Anna Michalak, Radosław Zimroz, Agnieszka Wyłomańska
