Optimal maintenance policies for degrading hydrocarbon pipelines using Markov decision process

Author First name, Last name, Institution

Eric Bediako, Texas Tech University
Suzan Alaswad, Zayed University
Yisha Xiang, Texas Tech University
Zhigang Tian, University of Alberta

Document Type

Conference Proceeding

Source of Publication

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

Publication Date

8-1-2020

Abstract

© 2020 IEEE. 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.

DOI Link

10.1109/aparm49247.2020.9209419

ISBN

9781728171029

Publisher

Institute of Electrical and Electronics Engineers Inc.

Disciplines

Business

Keywords

corrective maintenance, Degradation, Markov decision process, Preventive maintenance

Scopus ID

85093967512

Recommended Citation

Bediako, Eric; Alaswad, Suzan; Xiang, Yisha; and Tian, Zhigang, "Optimal maintenance policies for degrading hydrocarbon pipelines using Markov decision process" (2020). All Works. 2605.
https://zuscholars.zu.ac.ae/works/2605

Indexed in Scopus

yes

Open Access

no