Decentralized structure for fault diagnosis of a class of hybrid dynamic systems

In this paper, a decentralized model-based approach for fault diagnosis of hybrid dynamic systems, in particular discretely controlled continuous system is proposed. The goal is to construct a decentralized hybrid diagnoser, able to diagnose parametric and discrete faults. This approach considers the system as composed of a set of continuous components interacting with several discrete components. The goal is to exploit the system modularity in order to be adapted to the diagnosis of large scale hybrid dynamic systems. In order to take into account the interactions between continuous and discrete components, local diagnosis decisions are merged using a coordinator. The latter issues a final decision about the origin of the fault and identifies its parameters.