Optimal maintenance policies for degrading hydrocarbon pipelines using Markov decision process

Eric Bediako, Suzan Alaswad, Yisha Xiang, Zhigang Tian

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

Abstract

The random nature of deterioration of piping systems used to transport hydrocarbons, is identified by periodic or continuous inspection. At a minimum threshold tmin of pipe wall thickness, the pipeline is in a failed state, with a leak or pipe rapture imminent.We modeled the maintenance policy of a pipeline, based on an infinite horizon Markov decision process, taking into consideration the current state of the pipe, the action performed and the transition probabilities from one state to the other. This provides an optimal decision-making strategy or policy to minimize total maintenance cost.

Original languageEnglish
Title of host publication2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling, APARM 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728171029
DOIs
StatePublished - Aug 2020
Event2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling, APARM 2020 - Vancouver, Canada
Duration: Aug 20 2020Aug 23 2020

Publication series

Name2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling, APARM 2020

Conference

Conference2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling, APARM 2020
Country/TerritoryCanada
CityVancouver
Period08/20/2008/23/20

Keywords

  • Degradation
  • Markov decision process
  • Preventive maintenance
  • corrective maintenance

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