Alarm correlation for complex telecommunication networks using neural networks and signal processing

The aim of this paper is to investigate new tracks to tackle the open issues of alarm correlation for complex networks (e.g. IP/SDH or IP/WDM). The suggested approach consist of transforming, by means of a neural network the equipment alarm messages into a signal, and then, to use signal-processing methods in order to extract the relevant information for diagnosis.