Title :
Turbine generator plant monitoring: towards integrated systems
Author :
McDonald, J.R. ; Moyes, A. ; Georgin, E.
Author_Institution :
Centre for Electr. Power Eng., Strathclyde Univ., Glasgow, UK
Abstract :
Effective monitoring and control strategies are essential to maintaining efficient turbine-generator operation. This paper outlines an approach to achieving this aim by integrating a number of artificial intelligence (AI) techniques. An integrated architecture is described and two case studies are presented which demonstrate the potential of utilising such an approach. The paper concludes with a discussion of issues crucial to the further application of AI techniques to turbine-generator monitoring and control
Keywords :
computerised monitoring; knowledge acquisition; knowledge based systems; machine control; monitoring; power engineering computing; turbogenerators; artificial intelligence; control; engineering expertise; enhanced diagnostics; integrated systems; knowledge acquisition; knowledge modelling; turbine generator plant monitoring; turbine-generator control; Artificial intelligence; Decision support systems; Diagnostic expert systems; Expert systems; Knowledge acquisition; Knowledge engineering; Monitoring; Power engineering; Problem-solving; Turbines;
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.1996.501060
