Title :
Learning knowledge and strategy of a neuro-expert system architecture in alarm processing
Author :
Khosla, R. ; Dillon, T.
Author_Institution :
Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ., Melbourne, Vic., Australia
fDate :
11/1/1997 12:00:00 AM
Abstract :
In this paper, the learning knowledge and strategy of a generic neuro-expert system (GENUES) architecture for the training of neural networks in a power network alarm processing system is described. The GENUES architecture forms an important part of an integrated architecture used for developing a real-time alarm processing system in a regional power system control centre. The authors also report on some of the important implementation issues related to alarm processing
Keywords :
alarm systems; expert systems; learning (artificial intelligence); neurocontrollers; power system control; real-time systems; learning knowledge; learning strategy; neuro-expert system architecture; power network alarm processing system; real-time alarm processing; regional power system control; Computer architecture; Computer networks; Delay; Expert systems; Intelligent networks; Intelligent systems; Laboratories; Neural networks; Power systems; Real time systems;
Journal_Title :
Power Systems, IEEE Transactions on
