Steps toward prognostics of faults in bearings

Eyal Madar, Gideon Kogan, Dmitri Gazizulin, Renata Klein, Jacob Bortman

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

Abstract

Assessment of the remaining useful life of a rolling-elementbearing is a key element in rotating machines prognostics.Evaluation of the bearing remaining useful life (RUL)requires diagnosis of the fault existence, estimation of its sizeand estimation of the time interval until it reaches a criticalsize. A concept for bearing RUL estimation is proposed. Themain insights which led to the concept development arereviewed. The study focuses on estimation of spall sizelocated in one of the bearing races. A new approach forestimation of spall size in bearing races is developed basedon physical insights obtained from results of a generalbearing dynamic model. Analytical modeling of theinteraction between the spall and the rolling element enablesthe development of an autonomous generic method for spallsize estimation. In this paper the principles for spall sizeestimation are described. The new method was applied toexperimental data including different spall sizes on inner andouter races. The estimation shows satisfactory results witherrors up to 20%.

Original languageAmerican English
Title of host publicationPHM 2017 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2017
EditorsMatthew J. Daigle, Anibal Bregon
Pages236-241
Number of pages6
ISBN (Electronic)9781936263059
StatePublished - 1 Jan 2017
Event9th Annual Conference of the Prognostics and Health Management Society, PHM 2017 - St. Petersburg, United States
Duration: 2 Oct 20175 Oct 2017

Publication series

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

Conference

Conference9th Annual Conference of the Prognostics and Health Management Society, PHM 2017
Country/TerritoryUnited States
CitySt. Petersburg
Period2/10/175/10/17

All Science Journal Classification (ASJC) codes

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

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