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Len Gelman
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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
2602007
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
2372009
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
65*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
562012
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
412019
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
402011
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, 2008
382008
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
362005
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
362000
Advances in Electrical Engineering and Computational Science
L Gelman
Springer Science & Business Media, 2009
322009
The optimal usage of the Fourier transform for pattern recognition
L Gelman, S Braun
Mechanical Systems and Signal Processing 15 (3), 641-645, 2001
292001
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
272016
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
272013
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
262016
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
262015
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
252009
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
232014
Local damage diagnosis in gearboxes using novel wavelet technology.
KC Gryllias, L Gelman, B Shaw, M Vaidhianathasamy
Insight: Non-Destructive Testing & Condition Monitoring 52 (8), 2010
232010
New processing techniques for transient signals with non-linear variation of the instantaneous frequency in time
L Gelman, M Ottley
Mechanical Systems and Signal Processing 20 (5), 1254-1262, 2006
232006
Condition monitoring diagnosis methods of helicopter units
LM Gelman, DA Kripak, VV Fedorov, LN Udovenko
Mechanical Systems and Signal Processing 14 (4), 613-624, 2000
222000
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