• DocumentCode
    2191502
  • Title

    Multi-agent systems for diagnostic and condition monitoring applications

  • Author

    McArthur, S.D.J. ; Davidson, E.M.

  • Author_Institution
    Inst. for Energy & Environ., Strathclyde Univ., Glasgow, UK
  • fYear
    2004
  • fDate
    6-10 June 2004
  • Firstpage
    50
  • Abstract
    On-line diagnostics and on-line condition monitoring are important functions within the operation, control and management of power systems. Extensive research activities have led to the development of intelligent system techniques that support these functions. However, experience has shown that often more than one intelligent system technique is required to perform the diagnostic or monitoring function. In addition, integration is required between legacy data sources, legacy monitoring systems and the new data capture systems and intelligent systems being applied. Multi-agent system techniques can be used to provide such integration, while enhancing the overall intelligent interpretation functionality.
  • Keywords
    computerised monitoring; condition monitoring; multi-agent systems; power engineering computing; power system measurement; condition monitoring; data capture system; intelligent interpretation functionality; intelligent system technique; legacy data source; legacy monitoring system; multiagent system; online diagnostic; power system control; power system operation; power systems management; Condition monitoring; Fault diagnosis; Information retrieval; Intelligent systems; Multiagent systems; Power engineering and energy; Power industry; Power system analysis computing; Power system faults; Power system management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2004. IEEE
  • Print_ISBN
    0-7803-8465-2
  • Type

    conf

  • DOI
    10.1109/PES.2004.1372751
  • Filename
    1372751