Implementation and testing of an online fault isolation methodology in a real industrial scenario

The diagnosis of manufacturing systems plays an important role in the safety of both systems and operators. The paper presents a real application of systematic approaches to fault identification problem in the manufacturing field up to the online implementation. The diagnostic method comes from the classical diagnoser one, with the explicit modeling of time-out and the explicit modeling of nominal and non-nominal control behaviour. The aim of this novel diagnostic algorithm is to isolate faults that can occur in typical devices of machining centres. The diagnostic model and the approach has been defined and inserted in the model-driven architecture defined in the EU-MEDEIA project with the aim to describe a generic industrial plant as set of components.