Residual generation and identification for dynamic processes

The work presents a preliminary study concerning fault detection for dynamic processes using disturbance de-coupling technique. 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 the definition of basic parity relations that can be used as de-coupled residual signals, as they are insensitive to the disturbance term. The proposed fault detection procedure has been tested on an industrial pro. ~ss prototype. Sensor and actuator faults have been simulated on a gas turbine model. Simulation results and concluding remarks have been finally reported.