Towards Bearings Prognostics Based on Oil Debris

Orel Portal, Eyal Madar, Renata Klein, Jacob Bortman, Jeremy Nickell, Mathew Kirsch

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Rolling element bearings are widely used in many mechanical systems and affect their safe operation and reliability. The use of an integral Oil Debris Monitoring (ODM) sensor in the lubrication system allows continuous monitoring of chips and particles originating from an evolving failure in the mechanical system oil wetted components. This paper examines the use of the mass loss from an ODM sensor as a health indicator to assess damage severity and Remaining Useful life (RUL) of a rolling element bearing faulted in one of its raceways. A series of experiments were performed on a test rig using angular contact ball bearings subjected to high rotational speed and loads to study the propagation of a spall in the bearing raceway. A spall size estimation model that uses the mass loss from the ODM and known bearing characteristics was developed and showed good results. Based on tests results, a concept has been suggested to estimate bearing spall size and RUL to a critical spall size.

Original languageAmerican English
Title of host publicationProceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
EditorsChetan Kulkarni, Abhinav Saxena
Edition1
ISBN (Electronic)9781936263370
DOIs
StatePublished - 28 Oct 2022
Event2022 Annual Conference of the Prognostics and Health Management Society, PHM 2022 - Nashville, United States
Duration: 31 Oct 20224 Nov 2022

Publication series

NameProceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
Number1
Volume14

Conference

Conference2022 Annual Conference of the Prognostics and Health Management Society, PHM 2022
Country/TerritoryUnited States
CityNashville
Period31/10/224/11/22

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Electrical and Electronic Engineering
  • Health Information Management
  • Computer Science Applications

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