| 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 Bajrić, 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 - Maintenance and Reliability 18 (2), 299-306, 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 |
| An adaptive vibrational resonance method based on cascaded varying stable-state nonlinear systems and its application in rotating machine fault detection L Xiao, R Bajric, J Zhao, J Tang, X Zhang Nonlinear Dynamics, 1-25, 2021 | 29 | 2021 |
| Gearbox faults feature selection and severity classification using machine learning N Zuber, R Bajrić Eksploatacja i Niezawodność 22 (4), 748-756, 2020 | 19 | 2020 |
| Bearing fault diagnosis through stochastic resonance by full-wave signal construction with half-cycle delay K Chi, J Kang, R Bajric, X Zhang Measurement 148, 106893, 2019 | 12 | 2019 |
| Application of the DC offset cancellation method and S transform to gearbox fault diagnosis X Zhang, J Zhao, R Bajrić, L Wang Applied Sciences 7 (2), 207, 2017 | 12 | 2017 |
| 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), 158-163, 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 |
| 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 |
| 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 |
| Contribution to gear pairs faults identification using mechanical vibration signal analysis techniques R Bajrić University of Novi Sad, Faculty of Technical Science, 2016 | 1* | 2016 |
| Determination of the internal damping coefficient in an elastic clamping beam S Karić, A Voloder, R Bajrić, D Kudumović | 1 | 2012 |
| Experimental vibration investigation of an industrial beater wheel mill R Bajric, N Zuber, S Karic Technics Technologies Education Management, 2010 | 1 | 2010 |
| Investigation of possible resonant problems during beater wheel mill operation R Bajric, V Baricak, S Delalic, P Muratovic, N Zuber Technics Technologies Education Management, 2010 | 1 | 2010 |
| Comparison of De-Phase Algorithm and DC Offset Cancellation on Pre-Whitening X Zhang, J Zhao, R Bajrić 2018 10th International Conference on Modelling, Identification and Control …, 2018 | | 2018 |
| Gearbox Fault Diagnosis Based on Fast Empirical Mode Decomposition and Correlated Kurtosis X Zhang, J Kang, R Bajrić, T Jin Engineering Asset Management 2016: Proceedings of the 11th World Congress on …, 2018 | | 2018 |
| Research Article Feature Extraction Using Discrete Wavelet Transform for Gear Fault Diagnosis of Wind Turbine Gearbox R Bajric, N Zuber, GA Skrimpas, N Mijatovic | | 2016 |
Ninoslav ZuberAssociate Professor, Faculty of Technical Sciences, University of Novi SadDirección de correo verificada de uns.ac.rs
