Studies on the Fault Diagnosis of Uncertain Linear Time-Delay Systems

For uncertain linear time-delay fault systems, an online fault detection method which using the fault residual signal sequences generated from the system state and actual output is presented. The main contribution of this work is to propose the parity space approach to diagnose and determine the parameters of the filter by transfer functions. The designed method can use the residual signals to detect the fault and even track the fault. The stability of the filter is studied. Finally, a numerical example demonstrates that the proposed method is proved to be reliable and veracious for reducing the disturbance effectively, and it can even track the fault.