This paper presents a novel fault detection and identification (FDI) method for a class of nonlinear systems. An introduction of the ESO theory is given, and based on this theory a novel fault diagnosis filter is constructed for diagnosis of nonlinear system fault. Simulation examples illustrate the effectiveness and the outstanding feature of the method that it can detect and identify the shape and magnitude of system fault simultaneously.