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
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;
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
DOI :
10.1109/ISAP.1996.501058
