| Advanced monitoring of machining operations R Teti, K Jemielniak, G O’Donnell, D Dornfeld CIRP annals 59 (2), 717-739, 2010 | 1566 | 2010 |
| Commercial tool condition monitoring systems K Jemielniak The International Journal of Advanced Manufacturing Technology 15 (10), 711-721, 1999 | 265 | 1999 |
| Tool condition monitoring using artificial intelligence methods M Balazinski, E Czogala, K Jemielniak, J Leski Engineering Applications of Artificial Intelligence 15 (1), 73-80, 2002 | 220 | 2002 |
| Application of AE and cutting force signals in tool condition monitoring in micro-milling K Jemielniak, PJ Arrazola CIRP Journal of Manufacturing Science and Technology 1 (2), 97-102, 2008 | 189 | 2008 |
| 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 |
| Suppression of self-excited vibration by the spindle speed variation method K Jemielniak, A Widota International Journal of Machine Tool Design and Research 24 (3), 207-214, 1984 | 134 | 1984 |
| Tool failure detection based on analysis of acoustic emission signals K Jemielniak, O Otman Journal of Materials Processing Technology 76 (1-3), 192-197, 1998 | 128 | 1998 |
| Type-2 fuzzy tool condition monitoring system based on acoustic emission in micromilling Q Ren, M Balazinski, L Baron, K Jemielniak, R Botez, S Achiche Information Sciences 255, 121-134, 2014 | 109 | 2014 |
| Some aspects of acoustic emission signal pre-processing K Jemielniak Journal of Materials Processing Technology 109 (3), 242-247, 2001 | 93 | 2001 |
| Numerical simulation of non-linear chatter vibration in turning K Jemielniak, A Widota International Journal of Machine Tools and Manufacture 29 (2), 239-247, 1989 | 88 | 1989 |
| Tool wear monitoring using genetically-generated fuzzy knowledge bases S Achiche, M Balazinski, L Baron, K Jemielniak Engineering Applications of Artificial Intelligence 15 (3-4), 303-314, 2002 | 87 | 2002 |
| Diagnosis of tool wear based on cutting forces and acoustic emission measures as inputs to a neural network K Jemielniak, L Kwiatkowski, PŁ Wrzosek Journal of Intelligent Manufacturing 9, 447-455, 1998 | 82 | 1998 |
| Catastrophic tool failure detection based on acoustic emission signal analysis K Jemielniak, O Otman CIRP Annals 47 (1), 31-34, 1998 | 80 | 1998 |
| Chip form monitoring through advanced processing of cutting force sensor signals R Teti, IS Jawahir, K Jemielniak, T Segreto, S Chen, J Kossakowska CIRP annals 55 (1), 75-80, 2006 | 68 | 2006 |
| 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 |
| Obróbka skrawaniem. Podstawy, dynamika, diagnostyka K Jemielniak | 62* | 2018 |
| TSK fuzzy modeling for tool wear condition in turning processes: an experimental study Q Ren, M Balazinski, L Baron, K Jemielniak Engineering Applications of Artificial Intelligence 24 (2), 260-265, 2011 | 61 | 2011 |
| Application of wavelet transform of acoustic emission and cutting force signals for tool condition monitoring in rough turning of Inconel 625 K Jemielniak, J Kossakowska, T Urbański Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2011 | 59 | 2011 |
| 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 | 57 | 2016 |
| Some aspects of AE application in tool condition monitoring K Jemielniak Ultrasonics 38 (1-8), 604-608, 2000 | 53 | 2000 |
Joanna Kossakowska-SkajsterWarsaw University of TechnologyZweryfikowany adres z pw.edu.pl
