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For the vehicle starting motor electrical and mechanical fault signal characteristics of time-varying non-stationary characteristics of time-frequency analysis, put forward the feature vector with modern signal processing method to extract fault signal,Fault diagnosis of the armature and the bearing of the starting motor.In the foundation of motor fault test platform, the destructive test of fault types, measured the armature current and the vibration signal, Using the theory of wavelet analysis and HHT transform to analyze the signals respectively, through the decomposition and reconstruction method decomposes the signal into different frequency components from high to low, and obtained the characteristic frequency of fault, extract the feature vector.The experimental results show that the modern signal processing method based on HHT transform is more adaptive than the wavelet analysis theory in the processing of time-varying non-stationary signals.