A service oriented architecture for integration of fault diagnostics

  • Authors:

  • Xiaoxu Ren;Max Ong;Geoffrey Allan;Visakan Kadirkamanathan;Haydn Thompson;Peter Fleming

  • Affiliations:

  • Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK;Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK;Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK;Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK;Rolls-Royce University Technology Centre in Control and Systems Engineering;Rolls-Royce University Technology Centre in Control and Systems Engineering

  • Venue:
  • SAG'04 Proceedings of the First international conference on Scientific Applications of Grid Computing
  • Year:
  • 2004

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Abstract

Many model-based fault diagnosis approaches have been proposed so far and some of them have been put into industrial practices. But for modern complex processes, due to the variable nature of faults and model uncertainty, no single approach can diagnose all faults and meet different contradictory criteria. In this paper, the importance of integration of different fault diagnostic schemes in a common framework is emphasised. A service-oriented architecture for the integration is proposed based on Grid technologies. As an implementation, a decision support system for the gas turbine engine fault diagnosis is presented and some deployed services are discussed.