Article
Optimal maintenance policies for degrading hydrocarbon pipelines using Markov decision process
2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling, APARM 2020
Document Type
Conference Proceeding
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
Keywords
- corrective maintenance,
- Degradation,
- Markov decision process,
- Preventive maintenance
Scopus ID
85093967512
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1109/APARM49247.2020.9209419
Citation Information
Eric Bediako, Suzan Alaswad, Yisha Xiang and Zhigang Tian. "Optimal maintenance policies for degrading hydrocarbon pipelines using Markov decision process" 2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling, APARM 2020 (2020) Available at: http://works.bepress.com/suzan-alaswad/8/