• DocumentCode
    2291641
  • Title

    Fault detection, diagnostics, and prognostics: software agent solutions

  • Author

    Liu, Li ; Logan, Kevin P. ; Cartes, David A.

  • Author_Institution
    Center for Adv. Power Syst., Florida State Univ., Tallahassee, FL, USA
  • fYear
    2005
  • fDate
    27-27 July 2005
  • Firstpage
    425
  • Lastpage
    431
  • Abstract
    Fault diagnosis and prognosis are important tools for the reliability, availability and survivability of navy all-electric ships. Extending the fault detection and diagnosis into predictive maintenance increases the value of this technology. The traditional diagnosis can be viewed as a single diagnostic agent having a model of the whole system to be diagnosed. This becomes inadequate when the system becomes large and distributed as on the electric ships. For such systems, the software multi-agents may offer a solution. This paper first presents a brief review on the traditional fault diagnosis method with an emphasis on its application to electric motors as important components on the all-electric ship. The software agent technology is then introduced. The discussion is made about how this technology supports the drastic manning reduction requirements for the future navy ships. Examples are given on the existing naval applications of diagnostic and prognostic software agents.
  • Keywords
    electric motors; electric vehicles; fault diagnosis; maintenance engineering; multi-agent systems; power engineering computing; reliability; ships; software agents; electric motors; fault detection; fault diagnostics; fault prognostics; navy all-electric ships; predictive maintenance; software agent; software multiagents; Application software; Availability; Electric motors; Electrical fault detection; Fault detection; Fault diagnosis; Marine vehicles; Predictive maintenance; Software agents; Software systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Ship Technologies Symposium, 2005 IEEE
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    0-7803-9259-0
  • Type

    conf

  • DOI
    10.1109/ESTS.2005.1524710
  • Filename
    1524710