Building Local Neural Classifiers for Alarm Handling and Fault Location in
Electrical Power Systems
M.A.P. Rodrigues, J.C.S. Souza and M. Th. Schilling
A method for power systems alarm handling and fault location is presented. The method
employs artificial neural network classifiers whose inputs are alarms from relays and
circuit breakers operation, while the outputs identify the faulted system component. Fault
location is determined even in cases of protection system failures or in the presence of
noisy data. The employed methodology is illustrated with a test system.