Fault detection and isolation in the presence of process uncertainties

This paper proposes a novel scheme of sensor/actuator fault detection and isolation (FDI) for multivariate dynamic systems in the presence of process uncertainties, including model-plant-mismatch and process disturbances. Given an estimated model that can be biased from the true one, the primary residual vector (PRV), for detecting faults in output sensors, can be made completely insensitive to process uncertainties under certain conditions. For detecting faults in actuators, the PRV can be made almost insensitive to the process uncertainties. Numerical and experimental examples justify the effectiveness of the proposed scheme, where comparison with an existing robust FDI scheme is conducted.