On March 2–4, 2026, we had the pleasure of participating in the 52st 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 eight 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.
- Identyfikacja i ocena komponentów impulsowych w sygnałach drganiowych na potrzeby oceny ich przydatności w diagnostyce maszyn
Agnieszka Wyłomańska, Aleksandra Grzesiek, Justyna Witulska, Radosław Zimroz, Daniel Kuzio, Anna Michalak, Tomasz Barszcz, Tomasz Potaczała - An autoencoder-based approach to health index design using a cyclic spectral coherence map
Daniel Kuzio, Hamid Shiri, Agnieszka Wyłomańska, Radosław Zimroz - Development of an active sensor orientation mechanism for enhanced robotic perception
Jakub Chmielewski, Bartosz Miszkieło, Radosław Zimroz, Jarosław Szrek - Autonomiczny diagnosta – robotyka inspekcyjna, fuzja danych, ekstrakcja cech i podejmowanie decyzji na podstawie bezkontaktowych pomiarów i ich zastosowania w diagnostyce rozproszonej infrastruktury technicznej
Radosław Zimroz, Anna Michalak, Jacek Wodecki, Przemysław Dąbek, Jarosław Szrek, Mohammad Siami, Tomasz Barszcz - Detection of local damage in rotating machines using cyclostationary spatial filtering
Jacek Wodecki, Anna Michalak - Clustering of cyclic spectral coherence map under non-Gaussian noise to extract an informative frequency band
Anna Michalak, Jacek Wodecki, Radosław Zimroz - Methods for RGB video processing for estimation instantaneous rotational speed of idlers used on belt conveyor systems
Przemysław Dąbek, Jacek Wodecki, Anna Michalak - Local damage detection in rolling elements bearing based on acoustic non-Gaussian data – comparison of recently developed methods
Justyna Hebda-Sobkowicz, Radosław Zimroz
The work was funded by the National Science Center in Poland as part of the OPUS grant: 2025/57/B/ST7/03507 „Fusion of an inspection robot-based, noncontact measurements for sound driven condition monitoring of rolling element bearings under varying speed, harsh noise and uncertain experimental conditions”
FENG.01.01-IP.01-A0C8/24 finansowanego przez Narodowe Centrum Badań i Rozwoju pt. „Nowa era bezpieczeństwa pracy maszyn poprzez moduł identyfikacji zakłóceń i ekstrakcji informacji dla sygnałów z zakłóceniami o charakterze impulsowym”.
The work was funded by the National Science Center in Poland as part of the WEAVE-UNISONO grant: 2025/07/Y/ST8/00070 pt. “Advanced signal processing techniques for cyclostationary modelling in Gaussian and non-Gaussian noisy environment – detection of cyclic sources, estimation, optimisation of algorithms and validation in the context of fault identification”.