| Gearbox faults identification using vibration signal analysis and artificial intelligence methods N Zuber, R Bajrić, R Šostakov Eksploatacja i Niezawodność 16 (1), 61--65, 2014 | 106 | 2014 |
| Feature extraction using discrete wavelet transform for gear fault diagnosis of wind turbine gearbox R Bajric, N Zuber, GA Skrimpas, N Mijatovic Shock and Vibration 2016, 2016 | 67 | 2016 |
| Application of artificial neural networks and principal component analysis on vibration signals for automated fault classification of roller element bearings N Zuber, R Bajrić Eksploatacja i Niezawodność 18 (2), 2016 | 47 | 2016 |
| Review of vibration signal processing techniques towards gear pairs damage identification R Bajric, D Sprecic, N Zuber International Journal of Engineering & Technology 11 (4), 124-128, 2011 | 46 | 2011 |
| Experimental determination of lateral forces caused by bridge crane skewing during travelling A Zelić, N Zuber, R Šostakov Eksploatacja i Niezawodność 20 (1), 2018 | 39 | 2018 |
| Gearbox faults feature selection and severity classification using machine learning N Zuber, R Bajrić Eksploatacja i Niezawodność 22 (4), 748-756, 2020 | 19 | 2020 |
| Remote online condition monitoring of the bucket wheel excavator SR1300: A case study N Zuber, H Ličen, MA Klašnja Facta universitatis-series: Working and Living Environmental Protection 5 (1 …, 2008 | 16 | 2008 |
| Applied remote condition monitoring of the bucket wheel excavator N Zuber, H Ličen, A Klašnja-Miličević Istraživanja i projektovanja za, 2009 | 9 | 2009 |
| Analysis of the influence of hydraulic fluid quality on external gear pump performance B Novaković, L Radovanović, N Zuber, D Radosav, L Đorđević, M Kavalić Eksploatacja i Niezawodność 24 (2), 2022 | 8 | 2022 |
| Vibration feature extraction methods for gear faults diagnosis-a review ZF Ninoslav, B Rusmir, D Cvetkovic Facta Universitatis, Series: Working and Living Environmental Protection 12 …, 2015 | 7 | 2015 |
| Relations between pulverizing process parameters and beater wheel mill vibration for predictive maintenance program setup R Bajrić, N Zuber, R Šostakov Eksploatacja i Niezawodność 16 (1), 2014 | 7 | 2014 |
| Recent advances in vibration signal processing techniques for gear fault detection-A review R Bajrić, N Zuber, S Isić Applied Mechanics and Materials 430, 78-83, 2013 | 7 | 2013 |
| Reengineering the port equipment maintenance process B Stevanov, N Zuber, R Šostakov, Z Tešić, S Bojić, M Georgijević, A Zelić International Journal of Industrial Engineering and Management 7 (3), 99-110, 2016 | 6 | 2016 |
| An innovative approach to the condition monitoring of excavators in open pits mines N Zuber, H Licen, R Bajric Technics Technologies Education Management, 2010 | 6 | 2010 |
| Mogućnosti primene metoda veštačke inteligencije u automatizaciji vibrodijagnostičkih metoda N Zuber, H Ličen Tehnička dijagnostika 10 (2), 9-16, 2011 | 5 | 2011 |
| Izveštaj o merenju i analizi vibracija na elektroagregatima tipa No-break, snage 100 kVA, u Radarskoj stanici, Koviona-Beograd N Žegarac, H Ličen, N Zuber Beograd, 1999 | 5 | 1999 |
| The analysis of influential parameters on calibration and feeding accuracy of belt feeders D Živanić, N Ilanković, N Zuber, R Đokić, N Zdravković, A Zelić Eksploatacja i Niezawodność 23 (3), 413-421, 2021 | 4 | 2021 |
| Multiple fault identification using vibration signal analysis and artificial intelligence methods N Zuber, D Cvetkovic, R Bajrić Applied Mechanics and Materials 430, 63-69, 2013 | 4 | 2013 |
| Rolling element bearings fault identification in rotating machines, existing methods of vibration signal processing techniques and practical considerations N Zuber, D Cvetkovic Applied Mechanics and Materials 430, 70-77, 2013 | 3 | 2013 |
| Remote condition monitoring of rotating machinery N Zuber, R Šostakov Tehnička dijagnostika 11, 9-14, 2012 | 3 | 2012 |
