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

fYear

1996

Firstpage

151

Lastpage

155

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;

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.1996.501060

Filename

501060