| The enhancement of fault detection and diagnosis in rolling element bearings using minimum entropy deconvolution combined with spectral kurtosis N Sawalhi, RB Randall, H Endo Mechanical Systems and Signal Processing 21 (6), 2616-2633, 2007 | 748 | 2007 |
| Simulating gear and bearing interactions in the presence of faults: Part I. The combined gear bearing dynamic model and the simulation of localised bearing faults N Sawalhi, RB Randall Mechanical Systems and Signal Processing 22 (8), 1924-1951, 2008 | 489 | 2008 |
| Vibration response of spalled rolling element bearings: Observations, simulations and signal processing techniques to track the spall size N Sawalhi, RB Randall Mechanical Systems and Signal Processing 25 (3), 846-870, 2011 | 327 | 2011 |
| Application of cepstrum pre-whitening for the diagnosis of bearing faults under variable speed conditions P Borghesani, P Pennacchi, RB Randall, N Sawalhi, R Ricci Mechanical Systems and Signal Processing 36 (2), 370-384, 2013 | 281 | 2013 |
| Analysis of bearing stiffness variations, contact forces and vibrations in radially loaded double row rolling element bearings with raceway defects D Petersen, C Howard, N Sawalhi, AM Ahmadi, S Singh Mechanical Systems and Signal Processing 50, 139-160, 2015 | 243 | 2015 |
| Simulating gear and bearing interactions in the presence of faults: Part II: Simulation of the vibrations produced by extended bearing faults N Sawalhi, RB Randall Mechanical Systems and Signal Processing 22 (8), 1952-1966, 2008 | 166 | 2008 |
| A comparison of methods for separation of deterministic and random signals RB Randall, N Sawalhi, M Coats International Journal of Condition Monitoring 1 (1), 11-19, 2011 | 164 | 2011 |
| A machine learning approach for the condition monitoring of rotating machinery D Kateris, D Moshou, XE Pantazi, I Gravalos, N Sawalhi, S Loutridis Journal of Mechanical Science and Technology 28, 61-71, 2014 | 108 | 2014 |
| The application of spectral kurtosis to bearing diagnostics N Sawalhi, RB Randall Proceedings of ACOUSTICS, 3-5, 2004 | 101 | 2004 |
| Comparison of amplitude-based and phase-based method for speed tracking in application to wind turbines J Urbanek, T Barszcz, N Sawalhi, RB Randall Metrology and measurement systems 18 (2), 295-303, 2011 | 94 | 2011 |
| A New Method for Separating Discrete Components from a Signal. RB Randall, N Sawalhi Sound & vibration 45 (5), 2011 | 85 | 2011 |
| Fault detection enhancement in rolling element bearings using the minimum entropy deconvolution T Barszcz, N Sawalhi Archives of acoustics, 131-141-131-141, 2012 | 79 | 2012 |
| Diagnostics, prognostics and fault simulation for rolling element bearings N Sawalhi UNSW Sydney, 2007 | 79 | 2007 |
| Spectral kurtosis optimization for rolling element bearings. N Sawalhi, RB Randall ISSPA, 839-842, 2005 | 77 | 2005 |
| Gear parameter identification in a wind turbine gearbox using vibration signals N Sawalhi, RB Randall Mechanical Systems and Signal Processing 42 (1-2), 368-376, 2014 | 66 | 2014 |
| Extraction of tacho information from a vibration signal for improved synchronous averaging MD Coats, N Sawalhi, RB Randall Proceedings of acoustics, 1-8, 2009 | 62 | 2009 |
| Gearbox simulation models with gear and bearing faults E Hiroaki, S Nader Mechanical engineering 2, 2012 | 51 | 2012 |
| Signal pre-whitening using cepstrum editing (liftering) to enhance fault detection in rolling element bearings N Sawalhi, RB Randall Proceedings of the 24 international congress on condition monitoring and …, 2011 | 46 | 2011 |
| Rolling element bearing fault identification using a novel three-step adaptive and automated filtration scheme based on Gini index MN Albezzawy, MG Nassef, N Sawalhi ISA transactions 101, 453-460, 2020 | 42 | 2020 |
| Parallel misalignment modeling and coupling bending stiffness measurement of a rotor-bearing system N Sawalhi, S Ganeriwala, M Tóth Applied Acoustics 144, 124-141, 2019 | 42 | 2019 |
