| Tool condition monitoring based on numerous signal features K Jemielniak, T Urbański, J Kossakowska, S Bombiński The International Journal of Advanced Manufacturing Technology 59, 73-81, 2012 | 150 | 2012 |
| Tool condition monitoring in micromilling based on hierarchical integration of signal measures K Jemielniak, S Bombiński, PX Aristimuno CIRP annals 57 (1), 121-124, 2008 | 65 | 2008 |
| Real time monitoring of the CNC process in a production environment-the data collection & analysis phase J Downey, D O'Sullivan, M Nejmen, S Bombinski, P O’Leary, ... Procedia Cirp 41, 920-926, 2016 | 58 | 2016 |
| Sensor signal segmentation for tool condition monitoring S Bombiński, K Błażejak, M Nejman, K Jemielniak Procedia CIRP 46, 155-160, 2016 | 44 | 2016 |
| Hierarchical strategies in tool wear monitoring K Jemielniak, S Bombiński Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2006 | 40 | 2006 |
| Automatic multiple sensor data acquisition system in a real-time production environment J Downey, S Bombiński, M Nejman, K Jemielniak Procedia Cirp 33, 215-220, 2015 | 38 | 2015 |
| Detection of accelerated tool wear in turning S Bombiński, J Kossakowska, K Jemielniak Mechanical Systems and Signal Processing 162, 108021, 2022 | 24 | 2022 |
| Needs, requirements and a concept of a tool condition monitoring system for the aerospace industry S Bombiński, J Kossakowska, M Nejman, RE Haber, F Castaño, ... Sensors 21 (15), 5086, 2021 | 16 | 2021 |
| Multi-feature fusion based tool condition monitoring in rough turning of Inconel 625 K Jemielniak, T Urbanski, J Kossakowska, S Bombinski Proceedings of 4th CIRP International Conference on High Performance Cutting …, 2010 | 11 | 2010 |
| Hierarchical strategies in tool wear monitoring S Bombinski, K Jemielniak International Conference on Advances in Production Engineering, 2004 | 8 | 2004 |
| Analysis of the suitability of signal features for individual sensor types in the diagnosis of gradual tool wear in turning J Kossakowska, S Bombiński, K Ejsmont Energies 14 (20), 6489, 2021 | 5 | 2021 |
| „Możliwości zastosowania sieci neuronowej RBF do diagnostyki zużycia ostrza w systemie online” S Bombiński, K Błażejak, M Nejman Mechanik 89 (8-9), 1056--1057, 2016 | 2 | 2016 |
| Układ nadzoru stanu narzędzia ADONIS 10 J Kossakowska, S Bombiński, K Jemielniak Mechanik, 2015 | 2 | 2015 |
| Preliminary evaluation of the applicability of F, V and AEsignals in diagnosis of ADI machining process D Myszka, S Bombiński Archives of Foundry Engineering 14, 2014 | 2 | 2014 |
| Analiza możliwości wykorzystania systemu wizyjnego do rozpoznawania typu wiórów J Żaczek, J Kossakowska, S Bombiński Inżynieria Maszyn 19 (1), 102--114, 2014 | 2 | 2014 |
| Zaawansowane metody analizy sygnałów w diagnostyce stanu narzędzia J Kossakowska, S Bombiński, K Jemielniak Inżynieria Maszyn 19, 89-101, 2014 | 2 | 2014 |
| Ocena przydatności miar sygnałów w diagnostyce zużycia ostrza S Bombiński, K Jemielniak Archiwum Technologii Maszyn i Automatyzacji 25 (2), 201-210, 2005 | 2 | 2005 |
| Wizyjny system diagnostyki stanu ostrza przy toczeniu J Żaczek, S Bombiński Inżynieria Maszyn 17, 30-41, 2012 | 1 | 2012 |
| Automatyczna ocena zużycia ostrza oparta na wielu miarach sygnałów diagnostycznych S Bombiński The Institute of Manufacturing Processes, 2006 | 1 | 2006 |
| Assessment of Signal Feature Applicability for Tool Wear Monitoring S Bombiński, K Jemielniak VII International Conference on Monitoring and Automatic Supervision in …, 2004 | 1 | 2004 |
Prof. dr hab. inż. Krzysztof JemielniakWarsaw University of Technologypw.edu.pl üzerinde doğrulanmış e-posta adresine sahip
