Abstract
In the field of diagnostics of rolling element bearings, the development of sophisticated techniques, such as Spectral Kurtosis and 2nd Order Cyclostationarity, extended the capability of expert users to identify not only the presence, but also the location of the damage in the bearing. Most of the signal-analysis methods, as the ones previously mentioned, result in a spectrum-like diagram that presents line frequencies or peaks in the neighbourhood of some theoretical characteristic frequencies, in case of damage. These frequencies depend only on damage position, bearing geometry and rotational speed. The major improvement in this field would be the development of algorithms with high degree of automation. This paper aims at this important objective, by discussing for the first time how these peaks can draw away from the theoretical expected frequencies as a function of different working conditions, i.e. speed, torque and lubrication. After providing a brief description of the peak-patterns associated with each type of damage, this paper shows the typical magnitudes of the deviations from the theoretical expected frequencies. The last part of the study presents some remarks about increasing the reliability of the automatic algorithm. The research is based on experimental data obtained by using artificially damaged bearings installed in a gearbox.
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Ferreira, J.L.A., Balthazar, J.C., Araujo, A.P.N.: An investigation of rail bearing reliability under real conditions of use. Eng. Fail. Anal. 10, 745–758 (2003)
Randall, R.B., Antoni, J., Chobsaard, S.: The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals. Mech. Syst. Signal Process. 15(5), 945–962 (2001)
Hochmann, D., Bechhoefer, E.: Envelope bearing analysis: theory and practice. In: Aerospace Conference IEEE, Big Sky, 5–12 Mar 2005, pp. 3658–3660
Antoni, J.: The spectral kurtosis of nonstationary signals: formalisation, some properties, and application. In: 12th European Signal Processing Conference, Vienna, 6–10 Sept 2004
Antoni, J.: Cyclic spectral analysis in practice. Mech. Syst. Signal Process. 21, 597–630 (2007)
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© 2011 Springer Science+Business Media B.V.
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Pennacchi, P., Borghesani, P., Chatterton, S., Ricci, R. (2011). Bearing Fault Diagnostics Using the Spectral Pattern Recognition. In: Náprstek, J., Horáček, J., Okrouhlík, M., Marvalová, B., Verhulst, F., Sawicki, J. (eds) Vibration Problems ICOVP 2011. Springer Proceedings in Physics, vol 139. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2069-5_86
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DOI: https://doi.org/10.1007/978-94-007-2069-5_86
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