Robust residual generation for dynamic processes using de-coupling technique

The work presents some results concerning robust fault detection for dynamic processes using a disturbance decoupling technique. The first step of the approach consists of exploiting input-output descriptions of the monitored system. In particular, the disturbance term of a model can be used to take into account unknown inputs affecting the system. The next step of the scheme leads to definition of a set of parity relations that can be used as robust residual signals since they are insensitive to the disturbance term. The proposed fault detection procedure has been tested on an industrial process simulator. Sensor and actuator faults have been simulated on a gas turbine model.