Optimal maintenance policies for degrading hydrocarbon pipelines using Markov decision process
Source of Publication
2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling, APARM 2020
© 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.
Institute of Electrical and Electronics Engineers Inc.
corrective maintenance, Degradation, Markov decision process, Preventive maintenance
Bediako, Eric; Alaswad, Suzan; Xiang, Yisha; and Tian, Zhigang, "Optimal maintenance policies for degrading hydrocarbon pipelines using Markov decision process" (2020). All Works. 2605.
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