Rolling element bearing diagnostics—A tutorial RB Randall, J Antoni Mechanical systems and signal processing 25 (2), 485-520, 2011 | 2857 | 2011 |
Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study WA Smith, RB Randall Mechanical systems and signal processing 64, 100-131, 2015 | 2162 | 2015 |
Vibration-based condition monitoring: industrial, automotive and aerospace applications RB Randall John Wiley & Sons, 2021 | 1750 | 2021 |
The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines J Antoni, RB Randall Mechanical systems and signal processing 20 (2), 308-331, 2006 | 1575 | 2006 |
Frequency analysis RB Randall Naerum (DK): Bruel & Kjaer, 1987 | 1272 | 1987 |
The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals RB Randall, J Antoni, S Chobsaard Mechanical systems and signal processing 15 (5), 945-962, 2001 | 899 | 2001 |
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 | 761 | 2007 |
Optimisation of bearing diagnostic techniques using simulated and actual bearing fault signals D Ho, RB Randall Mechanical systems and signal processing 14 (5), 763-788, 2000 | 754 | 2000 |
A new method of modeling gear faults RB Randall | 626 | 1982 |
Application of spectral kurtosis for detection of a tooth crack in the planetary gear of a wind turbine T Barszcz, RB Randall Mechanical systems and signal processing 23 (4), 1352-1365, 2009 | 563 | 2009 |
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 | 509 | 2008 |
Enhancement of autoregressive model based gear tooth fault detection technique by the use of minimum entropy deconvolution filter H Endo, RB Randall Mechanical systems and signal processing 21 (2), 906-919, 2007 | 485 | 2007 |
Differential diagnosis of gear and bearing faults J Antoni, RB Randall J. Vib. Acoust. 124 (2), 165-171, 2002 | 456 | 2002 |
Use of the acceleration signal of a gearbox in order to perform angular resampling (with limited speed fluctuation) F Bonnardot, M El Badaoui, RB Randall, J Danière, F Guillet Mechanical Systems and Signal Processing 19 (4), 766-785, 2005 | 428 | 2005 |
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 | 339 | 2011 |
A history of cepstrum analysis and its application to mechanical problems RB Randall Mechanical Systems and Signal Processing 97, 3-19, 2017 | 313 | 2017 |
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 | 289 | 2013 |
A stochastic model for simulation and diagnostics of rolling element bearings with localized faults J Antoni, RB Randall J. Vib. Acoust. 125 (3), 282-289, 2003 | 285 | 2003 |
Rolling element bearing fault diagnosis based on the combination of genetic algorithms and fast kurtogram Y Zhang, RB Randall Mechanical Systems and Signal Processing 23 (5), 1509-1517, 2009 | 249 | 2009 |
State of the art in monitoring rotating machinery-part 1 RB Randall Sound and vibration 38 (3), 14-21, 2004 | 249 | 2004 |