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2010-05-06 - Article/Dans un journal avec peer-review - Anglais - 9 page(s) (Soumise)

Kilundu Y'E Bondo Bovic, Dehombreux Pierre , Chiementin Xavier, "Singular Spectrum Analysis for Bearing Defect Detection" in Journal of Vibration and Acoustics

  • Edition : American Society of Mechanical Engineers (ASME), New-York (NY)
  • Codes CREF : Mécanique appliquée spéciale (DI2200), Dynamique des machines (DI2142)
  • Unités de recherche UMONS : Génie Mécanique (F707)
  • Instituts UMONS : Institut des Sciences et du Management des Risques (Risques)
  • Centres UMONS : Biosys (BIOSYS)
Texte intégral :

Abstract(s) :

(Anglais) In this work, singular spectrum analysis (SSA) is employed to process vibration signals resulting from rolling bearings. A monitoring indicator is defined from the fact that the structure of a signal recorded from a bearing becomes more complex when the bearing becomes defective. This can be explained by the non-stationarity and the non-linearity induced by the defect. The effects of operating parameters such as load and speed on the indicator are studied. Results demonstrate that the indicator defined in this paper is less sensitive to these parameters than the rms value, a traditional vibratory indicator.