Graphical Model Based for Robust Fault Diagnosis

In this paper, robust Fault Detection and Isolation (FDI) design in nonlinear uncertain dynamic system, with chemical and thermodynamic phenomenon, is addressed. The methodology using a Bond Graph (BG) representation in linear fractional transformation (LFT) form is shown to be a valuable tool for developing dynamic threshold generators and achieving robustness against model uncertainty in combination with sensitivity to faults. The proposed FDI method is illustrated through an equilibrated reaction occurred in a continuous reactor coupled with a heat exchanger. Simulations are given to support the theoretical development and demonstrate the potential of the developed procedure.