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VHI: Valve Health Identification for the Maintenance of Subsea Industrial Equipment

  • M. Atif QureshiEmail author
  • Luis Miralles-Pechuán
  • Jing Su
  • Jason Payne
  • Ronan O’Malley
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11053)

Abstract

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.

Notes

Acknowledgements

This publication has emanated from research conducted with the support of Enterprise Ireland (EI), under Grant Number IP20160496 and TC20130013. The data was kindly supplied by BP, supported by Wood.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • M. Atif Qureshi
    • 1
    Email author
  • Luis Miralles-Pechuán
    • 1
  • Jing Su
    • 1
  • Jason Payne
    • 2
  • Ronan O’Malley
    • 2
  1. 1.Centre for Applied Data Analytics Research (CeADAR)University College DublinDublinIreland
  2. 2.WoodGalwayIreland

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