Condition-Based Maintenance with Reinforcement Learning for Dry Gas Pipeline Subject to Internal Corrosion

• Published in: Sensors (Basel, Switzerland) Vol. 20; no. 19; p. 5708
• Main Authors: Mahmoodzadeh, Zahra, Wu, Keo-Yuan, Lopez Droguett, Enrique, Mosleh, Ali
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 07.10.2020; MDPI
• Subjects: Algorithms; condition-based maintenance; Corrosion; Costs; Decision making; dry gas pipelines; internal corrosion; Internet of Things; Investigations; Maintenance management; Natural gas; Performance evaluation; reinforcement learning; School environment; United States > US

Gas pipeline systems are one of the largest energy infrastructures in the world and are known to be very efficient and reliable. However, this does not mean they are prone to no risk. Corrosion is a significant problem in gas pipelines that imposes large risks such as ruptures and leakage to the env...