Unfolding-Based Diagnosis of Systems with an Evolving Topology

Abstract. We propose a framework for model-based diagnosis of systems with mobility and variable topologies, modelled as graph transformation systems. Generally speaking, model-based diagnosis is aimed at constructing explanations of observed faulty behaviours on the basis of a given model of the system. Since the number of possible explanations may be huge we exploit the unfolding as a compact data structure to store them, along the lines of previous work dealing with Petri net models. Given a model of a system and an observation, the explanations can be constructed by unfolding the model constrained by the observation, and then removing incomplete explanations in a pruning phase. The theory is formalised in a general categorical setting: constraining the system by the observation corresponds to taking a product in the chosen category of graph grammars, so that the correctness of the procedure can be proved by using the fact that the unfolding is a right adjoint and thus it preserves ...

• Type: Conference
• Year: 2008
• Where: CONCUR
• Authors: Paolo Baldan, Thomas Chatain, Stefan Haar, Barbara König
• Keywords: CONCUR 2008, Distributed And Parallel Computing, Model-based Diagnosis, Observed Faulty Behaviours, Petri Nets