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Antoni J., Cyclostationarity by examples, Mechanical Systems and Signal Volume 23, Issue 4, May 2009, Pages 987-1036
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Mechanical Systems and Signal
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Application of spectral kurtosis for detection of a tooth crack in the planetary gear of a wind turbine
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Barszcz T, Randall R. B. Application of spectral kurtosis for detection of a tooth crack in the planetary gear of a wind turbine Mechanical Systems and Signal Processing, Volume 23, Issue 4, May 2009, Pages 1352-1365
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Bartelmus W. Zimroz R. Vibration condition monitoring of planetary gearbox under varying external load. Mechanical Systems and Signal Processing 23 (2009) 246-257
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Mechanical Systems and Signal Processing
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Application of spectral correlation techniques on mining machine signals: Identification of faulty components
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Bartelmus W., Boustany R., Zimroz R., Antoni J, Application of spectral correlation techniques on mining machine signals: Identification of faulty components, Second World Congress on Engineering Asset Management and the Fourth International Conference on Condition Monitoring, 11-14 June 2007, Harrogate, United Kingdom
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Second World Congress on Engineering Asset Management and the Fourth International Conference on Condition Monitoring
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Wykrywanie uszkodzeń lokalnych w układach napȩdowych maszyn górniczych-wybrane zagadnienia (Detection of local tooth damage in mining machines-selected issues)
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Wegierska Gorka, Poland
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Bartelmus W., Zimroz R, Wykrywanie uszkodzeń lokalnych w układach napȩdowych maszyn górniczych-wybrane zagadnienia (Detection of local tooth damage in mining machines-selected issues), 51pages, Proceedings of Conference on Machine Diagnostic, Wegierska Gorka 2008, Poland
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Blind extraction of a cyclostationary signal using reducedrank cyclic regression-a unifying approach
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Boustany R, Antoni J., Blind extraction of a cyclostationary signal using reducedrank cyclic regression-a unifying approach, Mechanical Systems and Signal Processing, vol 22 (2008) 520-541
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Application of spectral correlation techniques on mining machine signals: Extraction of fault signatures
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11-14 June, Harrogate, United Kingdom
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Boustany R., Bartelmus W., Antoni J Zimroz R, Application of spectral correlation techniques on mining machine signals: Extraction of fault signatures, Second World Congress on Engineering Asset Management and the Fourth International Conference on Condition Monitoring, 11-14 June 2007, Harrogate, United Kingdom
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Combet, F., Gelman L., Optimal filtering of gear signals for early damage detection based on the spectral kurtosis Mechanical Systems and Signal Processing, Volume 23, Issue 3, April 2009, Pages 652-668
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Optimal Filtering of Gear Signals for Early Damage Detection Based on the Spectral Kurtosis Mechanical Systems and Signal Processing
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Gelman L., Zimroz R., Birkel J., Whitehurst G, Leigh-Firbank H., Simms D., Waterland B.: Adaptive vibration condition monitoring technology for local tooth damage in gearboxes. International Journal of British Institute of Non-destructive Testing (Insight) 2005, vol. 47, no 8, pp. 461-464
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J Antoni The spectral kurtosis: a useful tool for characterising non-stationary signals Mech. Sys. and Signal Proc., Vol. 20, Issue 2, 2006, Pages 282-307
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The spectral kurtosis: Application to the vibratory surveillance and diagnostics of rotating machines
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J. Antoni and R. B. Randall The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines Mechanical Systems and Signal Processing, Volume 20, Issue 2, February 2006, Pages 308-331
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The relationship between spectral correlation and envelope analysis for cyclo-stationary machine signals, application to ball bearing diagnostics
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Randall R. B., Antoni J., Chobsaard S., "The Relationship Between Spectral Correlation and Envelope Analysis for Cyclo-stationary Machine Signals, Application to Ball Bearing Diagnostics", Mechanical Systems and System Processing, Vol. 15(5), pp. 945-962, 2001.
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Application of signals separation/extraction techniques for diagnostics of driving units in mining machines
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Zimroz R., Bartelmus W., Gearbox condition estimation using cyclo-stationary properties of vibration signal, will be presented at DAMAS Conference, Beijing, August 2009, will be published in Key Engineering Materials
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Gearbox Condition Estimation Using Cyclo-stationary Properties of Vibration Signal, Will Be Presented at DAMAS Conference
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Kurtogram software, http://www.utc.fr/~antoni/
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