Fault diagnosis and isolation in complex dynamical networks with uncertainties

Fault diagnosis and isolation is necessary in obtaining reliable and stable operations of complex dynamical networks. This paper presents a novel fault detection and isolation (FDI) method for complex dynamic networks with uncertainties. In the proposed FDI architecture, a fault detection estimator (FDE) and a bank of fault isolation estimators (FIEs) are designed for fault diagnosis and isolation in each local subsystem. When a fault is detected by the FDE in one subsystem, the corresponding FIEs are activated to figure out which type of fault is taking place in the subsystem. It is effective to monitor changes in complex dynamical networks with uncertainties for fault diagnosis and isolation. In addition, some numerical simulations are done to illustrate the effectiveness of this method.