• DocumentCode
    1701629
  • Title

    Implementation framework for an expert system for generator monitoring

  • Author

    Kezunovic, M. ; Rikalo, I. ; Sun, J. ; Wu, X. ; Fromen, C.W. ; Sevcik, D.R. ; Tielke, K.W.

  • Author_Institution
    Texas A&M Univ., TX, USA
  • fYear
    1996
  • Firstpage
    140
  • Lastpage
    144
  • Abstract
    This paper describes an implementation framework for an intelligent generator monitoring system. This solution is based on a high performance front-end data acquisition system and real-time processing of electrical signals and contacts from related protective relays, circuit breakers, and switches. Based on this data, the system performs continuous monitoring of the electrical part of the generator and informs operators of any deviations from the normal operating conditions. The monitoring involves automated comparison and evaluation of several input quantities according to the rules defined by the experts. The system is implemented using a PC interfaced to an advanced digital fault recorder
  • Keywords
    computerised monitoring; data acquisition; diagnostic expert systems; digital instrumentation; electric generators; monitoring; power engineering computing; recorders; circuit breakers; contacts; continuous monitoring; digital fault recorder; electrical signals; expert system; front-end data acquisition system; high performance; intelligent generator monitoring system; protective relays; real-time processing; switches; Circuit breakers; Contacts; Data acquisition; Expert systems; Intelligent systems; Monitoring; Protection; Protective relaying; Real time systems; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Applications to Power Systems, 1996. Proceedings, ISAP '96., International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-3115-X
  • Type

    conf

  • DOI
    10.1109/ISAP.1996.501058
  • Filename
    501058