Distributed Fault Detection and Isolation in a Class of Large-Scale Nonlinear Uncertain Systems

This paper presents a distributed fault detection and isolation (FDI) method for a class of largescale nonlinear uncertain systems. In the distributed FDI architecture, a local FDI component is designed for each subsystem by utilizing local measurements and certain communicated information from neighboring FDI components associated with subsystems that are directly interconnected. Under certain assumptions, adaptive thresholds for distributed FDI in each local subsystem are derived, ensuring robustness with respect to interactions among subsystems and system modeling uncertainty. The fault isolability condition is rigorously investigated, characterizing the class of faults that are isolable by the proposed method. An application example of automated highway systems is used to illustrate the effectiveness of the method.