Residual generation and disturbance de-coupling for a chemical process

The paper presents some results concerning fault diagnosis for dynamic processes using dynamic system identification and disturbance de-coupling techniques. The first step of the considered approach consists of exploiting input-output descriptions of the monitored system. In particular, the disturbance term of that model can be used to take into account unknown inputs affecting the system. The next step of the scheme leads to define a set of relations that can be used as residual signals since they are insensitive to the disturbance term. The proposed fault diagnosis scheme has been tested on an real industrial chemical process in the presence of sensor, actuator and component faults. The results and concluding remarks have been finally reported.