Supervision of telecommunication networks

Detection and isolation of failures in large and complex systems, as telecommunication networks, are crucial and challenging tasks. We propose in this article a model-based diagnosis system for telecommunication network breakdown based on two steps: Off-line step: the telecommunication management network is, first, modeled by temporal and communicating finite state machines. Then, a set of breakdown situations is simulated in the model. The simulation task generates for each simulated situation a set of all possible sequences of alarms received by the supervisor. And a learning database is built associating breakdown situations to different sequences of alarms. Finally, a learning module computes discrimination between all simulated breakdown situations; On-line step: results of off-line step are used to recognize on-fly breakdown situations from the stream of alarms arriving at the supervisor.