Diagnosis using unfoldings of parametric time Petri nets
Résumé
This paper considers the model of Time Petri Nets (TPNs) extended with time parameters and its use to perform on-line diagnosis of distributed systems. We propose to base the method on unfoldings. Given a partial observation, as a possibly structured set of actions, our method determines the causal relation between events in the model that explain the observation. It can also synthesize parametric constraints associated with these explanations. The method is implemented in the tool Romeo. We present its application to the diagnosis of the example of a cowshed with pigs.