Selective maintenance of multi-component systems with multiple failure modes

Cesar Ruiz, Edward Pohl, Haitao Liao

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

1 Scopus citations

Abstract

In this paper, we develop a novel selective maintenance framework for optimizing the reliability or economic performance of a multi-component system subject to multiple failure modes. We classify the failure modes into soft failures and hard failures (possibly dependent). Soft failures are defined as occurring when a degradation process under condition monitoring surpasses a predefined threshold while hard failures are spontaneous failures that cannot be monitored. To optimize the system performance, different levels of maintenance actions on multiple components are considered. In particular, imperfect maintenance actions reduce the effective age and degradation level of a component while increasing the component's frailty. We solve the optimization problem using standard Differential Evolution (DE) and Genetic Algorithm (GA) heuristics. A numerical example shows that the proposed selective maintenance framework provides an effective tool for making the optimal maintenance decisions by considering hard failures and the correlation among degradation processes.

Original languageEnglish (US)
Title of host publication2020 Annual Reliability and Maintainability Symposium, RAMS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728136899
DOIs
StatePublished - Jan 2020
Event2020 Annual Reliability and Maintainability Symposium, RAMS 2020 - Palm Springs, United States
Duration: Jan 27 2020Jan 30 2020

Publication series

NameProceedings - Annual Reliability and Maintainability Symposium
Volume2020-January
ISSN (Print)0149-144X

Conference

Conference2020 Annual Reliability and Maintainability Symposium, RAMS 2020
Country/TerritoryUnited States
CityPalm Springs
Period1/27/201/30/20

Keywords

  • Degradation Modelling
  • Heuristic Optimization
  • Selective Maintenance

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Mathematics(all)
  • Computer Science Applications

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