Learning knowledge and strategy of a neuro-expert system architecture in alarm processing

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.