Investigation of Fault Modeling in the Identification of Bearing Wear Severity

Diogo Alves, Tiago Machado, Felipe Tuckmantel, Patrick Keogh, Katia Cavalca

Research output: Contribution to journalArticlepeer-review

2 Citations (SciVal)
32 Downloads (Pure)


Recent research into machines involved in power generation processes has demanded deep investigation of model-based techniques for fault diagnosis and identification. The improvement of critical fault characterization is crucial in the maintenance process effectiveness, hence in time/costs saving, increasing performance and productivity of the whole system. Consequently, this paper deals with a common fault in hydrodynamically lubricated bearings assembled in rotating systems, namely, that of abrasive wear. Research on this topic points to an interesting query about the significance of model detail and complexity and the identification of its characteristic parameters for the important stages of fault diagnosis and fault identification. For this purpose, two models are presented and analyzed in their completeness concerning the fault signature by vibration measurements, as well as the identification of fault critical parameters which determine the machine lifetime estimation, maintenance procedures, and time costs regarding performance and productivity. From this study, the detailing in fault modeling has a substantial impact on fault parameter identification, even if its improvement is not so expressive in fault diagnosis procedures involving standard signal processing techniques of vibration signatures.

Original languageEnglish
Article number71802
Number of pages23
JournalJournal of Tribology: Transactions of the ASME
Issue number7
Early online date22 Dec 2021
Publication statusPublished - 31 Jul 2022


  • diagnostics
  • fault identification
  • fluid film lubrication
  • journal bearings
  • rotating systems
  • wear

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering
  • Surfaces and Interfaces
  • Surfaces, Coatings and Films


Dive into the research topics of 'Investigation of Fault Modeling in the Identification of Bearing Wear Severity'. Together they form a unique fingerprint.

Cite this