A parametric model to identify hydrodynamic bearing wear at a single rotating speed

Diogo Alves, Tiago Machado, Katia Cavalca, Gauthier Fieux, Patrick Keogh

Research output: Contribution to journalArticle

Abstract

For dynamic systems, fault detection and diagnosis involve the observation of vibration signals. Faults associated with hydrodynamic bearings are one of the most common causes of forced shutdowns in rotating machinery. If it is a wear fault, the bearing clearance is affected changing the rotating system characteristics. Therefore, the time response of a rotating machine subjected to worn hydrodynamic bearings is analysed to observe the vibration behaviour in presence of bearing wear. Spectral analysis is used to understand intact and worn bearing characteristics and to identify wear severity. For the wear, an improved and new parametric model is generated to increase simulation accuracy. The new approach indicates the severity of wear in the studied hydrodynamic bearings.
Original languageEnglish
Article number106640
Number of pages33
JournalTribology International
Volume153
Early online date12 Sep 2020
DOIs
Publication statusE-pub ahead of print - 12 Sep 2020

Keywords

  • bearing wear identification
  • rotor dynamics
  • full spectrum analysis
  • displacement data monitoring
  • operational rotating speed

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