Abstract: A new type of fault diagnosis strategy based on wavelet singularity detection is presented in this paper. In this method, the signal is firstly processed by discrete binary wavelet transform. It is then denoised through modulus maxima algorithm, and fault detection and positioning is completed by the modulus maxima point distribution in wavelet transformation. This method can evidently eliminate the affection of noise on residual signal and improve the robustness of fault detection. Finally, this method is applied to the fighter's structure fault detection. Simulation results show that the presented method is effective.

Key words: fault diagnosis, wavelet analysis, singularity detection, fighter