Intelligent supervision and integrated fault detection and diagnosis for subsea control systems

E. Altamiranda, E. Colina

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes an artificial intelligence based framework for integrated fault detection and diagnosis to support supervision and decision making applicable to subsea control systems. Instrumentation, electrical, electronic, hydraulic and communication subsystems are considered. This approach may contribute to minimizing well shut-down and production losses due to unexpected faults on any subsea control system component or subsystem. It may also contribute to achieving incipient fault detection and appropriate fault identification to support and improve troubleshooting, decision making and maintenance tasks (preventive maintenance).

Original languageEnglish (US)
Title of host publicationOCEANS 2007 - Europe
PublisherIEEE Computer Society
ISBN (Print)1424406358, 9781424406357
DOIs
StatePublished - 2007
Externally publishedYes
EventOCEANS 2007 - Europe - Aberdeen, Scotland, United Kingdom
Duration: Jun 18 2007Jun 21 2007

Publication series

NameOCEANS 2007 - Europe

Conference

ConferenceOCEANS 2007 - Europe
Country/TerritoryUnited Kingdom
CityAberdeen, Scotland
Period6/18/076/21/07

Keywords

  • Control systems
  • Fault diagnosis
  • Modeling
  • Underwater technology

ASJC Scopus subject areas

  • Computer Science Applications
  • Oceanography
  • Ocean Engineering
  • Modeling and Simulation

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