A new structural approach for ARRs generation from linear & linearized bond graphs

This paper presents a new structural approach of analytical redundancy relations generation from linear and linearized bond graphs. The approach considers for the first time the linearized bond graphs enclosing information bonds. And secondly, it uses the graphical algorithm of the transfer function to calculate the analytical redundancy relations directly from the diagnostic bond graph in integral causality. So doing so, the unknown variables elimination procedure is avoided. Due to its simplicity, the proposed approach is well suited for large scale systems.