Fault detection and isolation scheme in continuous time nonlinear stochastic dynamical systems

In this paper, the design of a fault detectiou and isolation scheme is addressed. We work on plants modelled via continuous-time nonlinear uncertain systems, where the un(;ertainty and the fault f\mction are assumed to be random processes. A model-based analytical redundancy apt)roach, which checks on-line the statistical characteristics of a residual through hypotheses tests, is proposed. Also a simulation example is discussed, with promising results.