LEARNING KNOWLEDGE AND STRATEGY OF A NEURO-EXPERT SYSTEM ARCHITECTUREIN ALARM PROCESSING

Authors
KHOSLA R DILLON T
Citation
R. Khosla et T. Dillon, LEARNING KNOWLEDGE AND STRATEGY OF A NEURO-EXPERT SYSTEM ARCHITECTUREIN ALARM PROCESSING, IEEE transactions on power systems, 12(4), 1997, pp. 1610-1618
Citations number
23
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
IEEE transactions on power systems → ACNP
ISSN journal
08858950
Volume
12
Issue
4
Year of publication
1997
Pages
1610 - 1618
Database
ISI
SICI code
0885-8950(1997)12:4<1610:LKASOA>2.0.ZU;2-D
Abstract
In this paper the learning knowledge and strategy of a generic neuro-e xpert system(GENUES) architecture for training neural networks in an a larm processing system is described. The GENUES architecture forms an important part of an integrated architecture used for developing a rea l-time alarm processing system in a regional power system control cent re. We also report on some of the important implementation issues rela ted to alarm processing.