A unified frame work for oil producing stations using Petri nets

Oil refining industries lose billions of dollars every year due to emergency shutdown. Accordingly, there is considerable interest in the field of fault detection and isolation from industrial practitioners and academic researchers. Although each failure can lead to undesirable shutdown that affect the mass production of the plant, modelling of the industrial processes is also important issue due to the fact that fault detection and isolation (FDI) schemes usually depend on process models. The main contributions of this paper are, introducing graphical discrete tools for modelling an industrial oil producing station (IOPS), and developing a unified FDI approach to this station. The former models the IOPS using Petri nets as a graphical discrete tool based on the information collected from the expertise working in the field and its available catalogues. The latter generalizes the Petri-net based diagnoser using a variable to check the number of moved tokens instead of a constant value. The most important feature of the generalized diagnoser is that it evaluates the faulty states without checking the properties that restrict the performance of the conventional dignosers to certain types of Petri net models. This paper also proposes a method to analyse the developed model. This method stems from the Petri nets' properties. Using Petri net tools for modelling and fault detecting & isolating of the IOPS, results in a unified frame work. Simulation results obtained using MATLAB-based Petri net-tool, reflect the soundness of the proposed modelling and FDI schemes for the IOPS.