| A model-based method for remaining useful life prediction of machinery Y Lei, N Li, S Gontarz, J Lin, S Radkowski, J Dybala IEEE Transactions on reliability 65 (3), 1314-1326, 2016 | 499 | 2016 |
| Rolling bearing diagnosing method based on empirical mode decomposition of machine vibration signal J Dybała, R Zimroz Applied Acoustics 77, 195-203, 2014 | 256 | 2014 |
| Reduction of Doppler effect for the needs of wayside condition monitoring system of railway vehicles J Dybała, S Radkowski Mechanical Systems and Signal Processing 38 (1), 125-136, 2013 | 78 | 2013 |
| Vibrodiagnostics of gearboxes using NBV-based classifier: A pattern recognition approach J Dybała Mechanical Systems and Signal Processing 38 (1), 5-22, 2013 | 35 | 2013 |
| Diagnosing of rolling-element bearings using amplitude level-based decomposition of machine vibration signal J Dybała Measurement 126, 143-155, 2018 | 31 | 2018 |
| Use of magnetic monitoring of vehicles for proactive strategy development S Gontarz, P Szulim, J Seńko, J Dybała Transportation Research Part C: Emerging Technologies 52, 102-115, 2015 | 31 | 2015 |
| Geometrical method of selection of features of diagnostic signals J Dybała, S Radkowski Mechanical Systems and Signal Processing 21 (2), 761-779, 2007 | 24 | 2007 |
| Driver drowsiness detection systems S Damian, J Dybała, P Czapski, P Skalski Zeszyty Naukowe Instytutu Pojazdów 112 (3), 2017 | 22 | 2017 |
| Verification of Doppler Effect removal method for the needs of pass-by railway condition monitoring system J Dybała, A Gałęzia, J Mączak Diagnostyka, 5-8, 2008 | 19 | 2008 |
| Thermal analyses of exhaust system on combustion engine J Dybała, K Lubikowski, K Rokicki, P Szulim, M Wikary Journal of KONES 19, 173-178, 2012 | 14 | 2012 |
| Zastosowanie metody magnetycznej pamięci metalu w diagnostyce obiektów technicznych J Dybała, K Nadulicz Problemy Techniki Uzbrojenia 44 (133), 63-80, 2015 | 12 | 2015 |
| Application of Empirical Mode Decomposition for impulsive signal extraction to detect bearing damage–industrial case study J Dybała, R Zimroz Condition Monitoring of Machinery in Non-Stationary Operations: Proceedings …, 2012 | 12 | 2012 |
| Wykorzystanie sygnału wibroakustycznego w analizie ryzyka technicznego J Dybała, J Mączak, S Radkowski Instytut Technologii Eksploatacji, Warszawa-Radom, 2006 | 10 | 2006 |
| Use of task-oriented dynamic resampling in reduction of signal non-stationarity J Dybała Diagnostyka, 25-30, 2008 | 9 | 2008 |
| A novel method of gearbox health vibration monitoring using empirical mode decomposition J Dybała, A Gałęzia Advances in Condition Monitoring of Machinery in Non-Stationary Operations …, 2014 | 8 | 2014 |
| Diagnostics of welded joints using passive and active magnetic methods J Dybała, KM Nadulicz Diagnostyka 18 (4), 51-59, 2017 | 7 | 2017 |
| Comparison of hybrid recurrent neural networks and dual‐polarization models of valve regulated lead acid battery A Chmielewski, J Możaryn, P Piorkowski, J Dybała International Journal of Energy Research 45 (2), 2560-2580, 2021 | 6 | 2021 |
| Empirical mode decomposition of vibration signal for detection of local disturbances in planetary gearbox used in heavy machinery system J Dybała, R Zimroz Key Engineering Materials 588, 109-116, 2014 | 6 | 2014 |
| Stanowisko hamowniane do badań silników spalinowych o małych mocach A Małecki, T Mydłowski, J Dybała Zeszyty Naukowe Instytutu Pojazdów/Politechnika Warszawska, 55--66, 2013 | 6 | 2013 |
| Comparative analysis of support vector machine and nearest boundary vector classifier J Dybala 2009 8th International Conference on Reliability, Maintainability and Safety …, 2009 | 6 | 2009 |
