Set-theoretic fault-diagnosis for a nonlinear real-word fluidic benchmark

Fault diagnosis is essential in managing abnormal changes in system characteristics which affect its functioning and control abilities. The manuscript provides a set-based fault diagnosis for a fluidic benchmark. Invariant sets are employed to characterize the steady-state behavior of the open-loop stable dynamics for sensor faults. It is shown that the set-based fault diagnosis theory integrates this model and is able to handle efficiently persistent fault events.