Using neural network to interpret multiple alarms

1 April 1990

journal article
Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Computer Applications in Power

Vol. 3 (2) , 33-37
https://doi.org/10.1109/67.53228

Abstract

The problem of interpreting a large number of alarms in a power system control center under stress conditions is considered. A description is given of an experiment using a neural network to build and test an intelligent alarm processor, that can analyze the multiple alarms associated with a system problem and identify the particular problem causing the alarms. The offline test results, although preliminary, suggest that the neural network approach is promising in developing a generic intelligent alarm processor that could be implemented by various electric utilities with minimal customization effort.

Keywords

This publication has 1 reference indexed in Scilit:

Survey on Excessive Alarms
IEEE Power Engineering Review, 1989