[1]
Randall, R.B., Antoni, J., Rolling element bearing diagnostics-A tutorial, Mechanical Systems and Signal Processing, 25 (2) (2011) pp.485-520.
DOI: 10.1016/j.ymssp.2010.07.017
Google Scholar
[2]
Lee S, White P, The enhancement of impulsive noise and vibration signals for fault detection in rotating and reciprocating machinery', Journal of Sound and Vibration, 217(3) (1998) pp.485-505.
DOI: 10.1006/jsvi.1998.1767
Google Scholar
[3]
Millioz F., Martin N., Time-Frequency Segmentation for Engine Speed Monitoring, Proceedings of ICSV, Viena, (2006).
Google Scholar
[4]
Brie D, Tomczak M, Oehlmann H, Richard A, Gear Crack Detection By Adaptive Amplitude And Phase Demodulation', Mechanical Systems and Signal Proc. Vol. 11/1 (1997), pp.149-167.
DOI: 10.1006/mssp.1996.0068
Google Scholar
[5]
Makowski, R.A., Zimroz, R., Adaptive bearings vibration modeling for diagnosis, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6943 LNAI (2011) pp.248-259.
DOI: 10.1007/978-3-642-23857-4_26
Google Scholar
[6]
Zimroz, R., Bartelmus, W., Application of adaptive filtering for weak impulsive signal recovery for bearings local damage detection in complex mining mechanical systems working under condition of varying load, Diffusion and Defect Data Pt. B: Solid State Phenomena 180 (2012).
DOI: 10.4028/www.scientific.net/ssp.180.250
Google Scholar
[7]
Lin J, Zuo M, Gearbox fault diagnosis using adaptive wavelet filter, Mechanical Systems and Signal Processing 17 (6), p.1259–1269, (2003).
DOI: 10.1006/mssp.2002.1507
Google Scholar
[8]
Boustany R, Antoni J., A subspace method for the blind extraction of a cyclostationary source: Application to rolling element bearing diagnostics', Mechanical Systems and Signal Processing, Vol. 19/6 (2005), pp.1245-1259.
DOI: 10.1016/j.ymssp.2005.08.016
Google Scholar
[9]
Zimroz, R., Bartelmus, W., Gearbox condition estimation using cyclo-stationary properties of vibration signal, Key Engineering Materials, 413-414, (2009) pp.471-478.
DOI: 10.4028/www.scientific.net/kem.413-414.471
Google Scholar
[10]
Ho D., Randall R, Optimization of bearing diagnostic techniques using simulated and actual bearing fault signals, Mechanical Systems and Signal Proc., 14(5) (2000) pp.763-788.
DOI: 10.1006/mssp.2000.1304
Google Scholar
[11]
Antoni J., Randall R., The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines, Mech. Sys. and Signal Proc., vol. 20 (2006), pp.308-331, (2006).
DOI: 10.1016/j.ymssp.2004.09.002
Google Scholar
[12]
Urbanek J., Barszcz T., Zimroz R., Antoni J., Application of averaged instantaneous power spectrum for diagnostics of machinery operating under non-stationary operational conditions, Measurement: Journal of the International Measurement Confederation 45 (7) (2012).
DOI: 10.1016/j.measurement.2012.04.006
Google Scholar
[13]
Zimroz, R., Urbanek, J., Barszcz, T., Bartelmus, W., Millioz, F., Martin, N. Measurement of instantaneous shaft speed by advanced vibration signal processing - Application to wind turbine gearbox Metrology and Measurement Systems 18 (4) (2011).
DOI: 10.2478/v10178-011-0066-4
Google Scholar
[14]
Urbanek J., Barszcz T., Sawalhi N., Randall R.B., Comparison of amplitude based and phase based methods for speed tracking in application to wind turbines, Metrology and Measurement Systems, Vol. XVIII (2011), No. 2, p.11.
DOI: 10.2478/v10178-011-0011-z
Google Scholar
[15]
Randall R., Antoni J., Chobsaard S., The Relationship Between Spectral Correlation and Envelope Analysis for Cyclostationary Machine Signals. Application to Ball Bearing Diagnostics, Mechanical Systems and System Processing, Vol. 15(5) (2001).
DOI: 10.1006/mssp.2001.1415
Google Scholar
[16]
Donoho D., De-Noising by Soft-Thresholding, IEEE Transactions On Information Theory, Vol. 41/ 3 (1995).
DOI: 10.1109/18.382009
Google Scholar
[17]
Chaari, F., Bartelmus, W., Zimroz, R., Fakhfakh, T., Haddar, M., Gearbox vibration signal amplitude and frequency modulation, Shock and Vibration 19 (4) (2012) pp.635-652.
DOI: 10.1155/2012/839420
Google Scholar
[18]
Urbanek J., Barszcz T., Antoni J., Time-frequency approach to extraction of selected second-order cyclostationary vibration components for varying operational conditions, Measurement (2012).
DOI: 10.1016/j.measurement.2012.11.042
Google Scholar
[19]
Antoni, J., Bonnardot, F., Raad, A., El Badaoui, M., Cyclostationary modeling of rotating machine vibration signals, Mechanical Systems and Signal Processing 18 (6) (2004) pp.1285-1314.
DOI: 10.1016/s0888-3270(03)00088-8
Google Scholar