Remarks on estimating the remaining useful life of an asset in the presence of condition variable changes

Diana Barraza-Barraza, Víctor G. Tercero-Gómez, Mario G. Beruvides, Alvaro E. Cordero-Franco

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

Abstract

This paper presents a summary of methodologies previously developed that focus on dealing with no historic degradation data, with changes in degradation condition and incorporating statistical monitoring into conditionbased maintenance (CBM). However, estimating the remaining useful life (RUL) of an asset is a complex task widely studied in the last decades. The main difficulty in RUL estimation through condition monitoring is the variety of failure paths that the assets develop. Studies have shown that similar assets develop significantly different degradations paths affecting the amount of historic data available for its analysis. Consequently, the available historic data to study these degradations are even scarcer. In addition, the condition variable might suffer a change through the asset life, producing misleading estimations if these changes are not taken into account when fitting a model. By considering these changes and highlighting the obstacles faced in the development of these methodologies, the lessons learned and the challenges in future RUL estimation research are further explored.

Original languageEnglish
Title of host publication67th Annual Conference and Expo of the Institute of Industrial Engineers 2017
EditorsHarriet B. Nembhard, Katie Coperich, Elizabeth Cudney
PublisherInstitute of Industrial Engineers
Pages1613-1618
Number of pages6
ISBN (Electronic)9780983762461
StatePublished - 2017
Event67th Annual Conference and Expo of the Institute of Industrial Engineers 2017 - Pittsburgh, United States
Duration: May 20 2017May 23 2017

Publication series

Name67th Annual Conference and Expo of the Institute of Industrial Engineers 2017

Conference

Conference67th Annual Conference and Expo of the Institute of Industrial Engineers 2017
CountryUnited States
CityPittsburgh
Period05/20/1705/23/17

Keywords

  • Autoregressive models
  • Bearing degradation
  • Condition-based maintenance
  • Reliability
  • Remaining useful life

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