Method for generating a fault indication signal

Abstract

The invention concerns a method for generating a fault indication signal in the event of a fault in an electric power supply network being monitored through a neural network arrangement. In order to rapidly generate fault indication signals capable of distinguishing between permanent metal contact short-circuits and short circuits due to arcing, a neural network (26) is used for each phase of the power supply network being monitored. Each neural network (26) is taught, while being coached through simulated voltages (U.sub.R (t)) of each phase during short-circuits caused by metal contact and arcing, so that the output signal (S) assumes a pre-defined value (0.8) for arcing and another pre-defined value (0.1) for a metal contact short-circuit. At the same time, the sequentially sampled normalized values (U.sub.Rn1 (t) through U.sub.Rn20 (t)) of the respective phase voltages (R.sub.R (t)) of the power supply network are applied to the different neurons (31) of the input layer (27) of each neural network (26) at the same time.

Dependencies are inferred from the claim text.