Search from over 60,000 research works

Advanced Search

Neural networks for power systems alarm handling

Full text not archived in this repository.
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Ball, N. R., Kiernan, L. A., Warwick, K., Cahill, E., Esp, D. and Macqueen, J. (1992) Neural networks for power systems alarm handling. Neurocomputing, 4 (1-2). pp. 5-8. ISSN 0925-2312 doi: 10.1016/0925-2312(92)90038-Q

Abstract/Summary

A multi-layered architecture of self-organizing neural networks is being developed as part of an intelligent alarm processor to analyse a stream of power grid fault messages and provide a suggested diagnosis of the fault location. Feedback concerning the accuracy of the diagnosis is provided by an object-oriented grid simulator which acts as an external supervisor to the learning system. The utilization of artificial neural networks within this environment should result in a powerful generic alarm processor which will not require extensive training by a human expert to produce accurate results.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/17881
Item Type Article
Refereed Yes
Divisions Science
Uncontrolled Keywords alarm analysis, neural networks, power systems, computer control
Publisher Elsevier
Download/View statistics View download statistics for this item

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar