Subsea valves are a key piece of equipment in the extraction process of oil and natural gas. Valves control the flow of fluids by opening and closing passageways. A malfunctioning valve can lead to significant operational losses. In this paper, we describe VHI, a system designed to assist maintenance engineers with condition-based monitoring services for valves. VHI addresses the challenge of maintenance in two ways: a supervised approach that predicts impending valve failure, and an unsupervised approach that identifies and highlights anomalies i.e., an unusual valve behaviour. While the supervised approach is suitable for valves with long operational history, the unsupervised approach is suitable for valves with no operational history.
CITATION STYLE
Atif Qureshi, M., Miralles-Pechuán, L., Su, J., Payne, J., & O’Malley, R. (2019). Vhi: Valve health identification for the maintenance of subsea industrial equipment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11053 LNAI, pp. 668–671). Springer Verlag. https://doi.org/10.1007/978-3-030-10997-4_48
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