A chaos-GFRF based fault diagnosis method

This paper presents a fault-diagnosis method based on the approaches of phase space reconstruction and generalized frequency response functions (GFRF) for the complex electronic system. The system parameter-evolving induced nonstationary is treated as the studying object. The phase space reconstruction and Gamma-test algorithm are employed to convert the system observing data into the pseudo-input/output pairs, and then three order of GFRF kernels are computed by means of the general formula of GFRF. The system fault data are generated by using the surrogate algorithm. The system fault detection and identification are realized by tracking and estimating the distortion of intermodulation. The experimental results depict that this fault diagnosis method can correctly detect the fault phenomena of electronic system