Damage accumulation: A new generalized machine health and condition indicator for continuous monitoring

Jacob Loverich, Jeremy Frank, David Kraige, Gary Koopmann, Ashok Belegundu, Michael Grissom

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a new Damage Accumulation machine health indicator that trades precision for ease of use and broad applicability, effectively addressing the challenges of practically applying continuous monitoring to large numbers of assets such as pumps, motors, gearboxes, and fans. Damage Accumulation offers comprehensive early warning indication for a broad range of faults that can in turn be used to trigger detailed analysis. Damage Accumulation is a time series vibration analysis technique that estimates the rate at which damage is accumulated at a given location. This indicator accounts for time-varying symptoms in machines which are often overlooked by traditional vibration diagnostic frequency analysis or time series analysis. It also considers the contribution of repeated load reversal cycles to component damage and the nonlinearity in the relationship between damage and vibration amplitude. This paper presents the fatigue analysis foundation of Damage Accumulation and demonstrates its efficacy in a bench test and in a high pressure pumping field example.

Original languageEnglish (US)
Title of host publicationPHM 2015 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2015
EditorsMatthew J. Daigle, Anibal Bregon
PublisherPrognostics and Health Management Society
Pages154-164
Number of pages11
ISBN (Electronic)9781936263202
StatePublished - Jan 1 2015
Event2015 Annual Conference of the Prognostics and Health Management Society, PHM 2015 - San Diego, United States
Duration: Oct 18 2015Oct 22 2015

Publication series

NameProceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
ISSN (Print)2325-0178

Other

Other2015 Annual Conference of the Prognostics and Health Management Society, PHM 2015
CountryUnited States
CitySan Diego
Period10/18/1510/22/15

All Science Journal Classification (ASJC) codes

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

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