| An automated methodology for performing time synchronous averaging of a gearbox signal without speed sensor F Combet, L Gelman Mechanical systems and signal processing 21 (6), 2590-2606, 2007 | 277 | 2007 |
| Optimal filtering of gear signals for early damage detection based on the spectral kurtosis F Combet, L Gelman Mechanical Systems and Signal Processing 23 (3), 652-668, 2009 | 254 | 2009 |
| Adaptive vibration condition monitoring technology for local tooth damage in gearboxes. G L, R Zimroz, J Birkel, H Leigh-Firbank, DM Simms, B Waterland, ... Insight - Non-Destructive Testing and Condition Monitoring 47 (8), 461-464, 2005 | 66* | 2005 |
| Novel detection of local tooth damage in gears by the wavelet bicoherence F Combet, L Gelman, G LaPayne Mechanical Systems and Signal Processing 26, 218-228, 2012 | 59 | 2012 |
| International association of engineers SI Ao, L Gelman, DWL Hukins, A Hunter, A Korsunsky Design and Off-Design Operation and Performance Analysis of a Gas Turbine 2, 2011 | 53 | 2011 |
| Advances in test and measurement of the interface adhesion and bond strengths in coating-substrate systems, emphasising blister and bulk techniques X Chen, C Shaw, L Gelman, KTV Grattan Measurement 139, 387-402, 2019 | 50 | 2019 |
| Novel adaptation of the demodulation technology for gear damage detection to variable amplitudes of mesh harmonics F Combet, L Gelman Mechanical Systems and Signal Processing 25 (3), 839-845, 2011 | 42 | 2011 |
| Non-linear vibroacoustical free oscillation method for crack detection and evaluation L Gelman, S Gorpinich Mechanical Systems and Signal Processing 14 (3), 343-351, 2000 | 37 | 2000 |
| Fatigue crack diagnostics: A comparison of the use of the complex bicoherence and its magnitude L Gelman, P White, J Hammond Mechanical Systems and Signal Processing 19 (4), 913-918, 2005 | 36 | 2005 |
| Advances in Electrical Engineering and Computational Science L Gelman Springer Science & Business Media, 2009 | 35 | 2009 |
| An explainable intelligence fault diagnosis framework for rotating machinery D Yang, HR Karimi, L Gelman Neurocomputing 541, 126257, 2023 | 29 | 2023 |
| The optimal usage of the Fourier transform for pattern recognition L Gelman, S Braun Mechanical Systems and Signal Processing 15 (3), 641-645, 2001 | 29 | 2001 |
| Novel spectral kurtosis technology for adaptive vibration condition monitoring of multi-stage gearboxes L Gelman, NH Chandra, R Kurosz, F Pellicano, M Barbieri, A Zippo Insight-Non-Destructive Testing and Condition Monitoring 58 (8), 409-416, 2016 | 28 | 2016 |
| World Congress on Engineering AMK S. I. Ao, Len Gelman, David WL Hukins, Andrew Hunter 2015 World Congress on Engineering, WCE 2015, 2015 | 27* | 2015 |
| Novel technology based on the spectral kurtosis and wavelet transform for rolling bearing diagnosis L Gelman, TH Patel, G Persin, B Murray, A Thomson International Journal of Prognostics and Health Management 4 (2), 2013 | 27 | 2013 |
| Triple correlation for detection of damage-related nonlinearities in composite structures A Klepka, M Strączkiewicz, L Pieczonka, WJ Staszewski, L Gelman, ... Nonlinear dynamics 81, 453-468, 2015 | 26 | 2015 |
| Vibration detection of local gear damage by advanced demodulation and residual techniques F Combet, L Gelman, P Anuzis, R Slater Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2009 | 26 | 2009 |
| Vibration health monitoring of rolling bearings under variable speed conditions by novel demodulation technique D Zhao, L Gelman, F Chu, A Ball Structural Control and Health Monitoring 28 (2), e2672, 2021 | 25 | 2021 |
| Current-based higher-order spectral covariance as a bearing diagnostic feature for induction motors T Ciszewski, L Gelman, L Swędrowski Insight-Non-Destructive Testing and Condition Monitoring 58 (8), 431-434, 2016 | 25 | 2016 |
| Vibration diagnostics of rolling bearings by novel nonlinear non-stationary wavelet bicoherence technology L Gelman, B Murray, TH Patel, A Thomson Engineering structures 80, 514-520, 2014 | 25 | 2014 |