ISSN:
1013-9826
Source:
Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
Rolling-element bearing vibrations are random cyclostationary, that is they exhibit acyclical behaviour of their statistical properties while the machine is operating. This property is sosymptomatic when an incipient fault develops that it can be efficiently exploited for diagnostics.This paper gives a synthetic but comprehensive discussion about this issue. First, thecyclostationarity of bearing signals is proved from a simple phenomenological model. Once thisproperty is established, the question is then addressed of which spectral quantity can adequatelycharacterise such vibration signals. In this respect, the cyclic coherence - and its multi-dimensionalextension in the case of multi-sensors measurements -- is shown to be twice optimal: first toevidence the presence of a fault in high levels of background noise, and second to return a relativemeasure of its severity. These advantages make it an appealing candidate to be used in adverseindustrial environments. The use and interpretation of the proposed tool are then illustrated onactual industrial measurements, and a special attention is paid to describe the typical "cyclic spectralsignatures" of inner race, outer race, and rolling-element faults
Type of Medium:
Electronic Resource
URL:
http://www.tib-hannover.de/fulltexts/2011/0528/01/54/transtech_doi~10.4028%252Fwww.scientific.net%252FKEM.347.265.pdf
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