Robust Fault Diagnosis by Using Bond Graph Approach

This paper deals with the generation of fault indicators and residual thresholds in the presence of parameter uncertainties by using a bond graph representation in linear fractional transformation (LFT) form. The residuals´ sensitivity analysis, which is based on the fault detectability indexes, is used for residuals evaluation. The developed algorithms are applied on an electromechanical test bench system for on-line fault detection and isolation. Simulation and experimental tests show the influence of dead zone magnitude and variations of system parameters on the residuals.