Analysis on Singularity of Fault Signals of High Spindle Based on Hermitian Wavelet

The signal in the nature ofsingularity is always caused by mechanical fault of CNC machine tool. It is important to recognize the singularity correctly for mechanical fault diagnosis. This paper deals with the wavelet t ransform and the relation between the modulus maxima and the singularity detection, and based on the excellent property of the Hermitian wavelet, poses the conception that applies it in fault diagnosis of the high speed spindle. On the base of analyzing singularity characters and wavelet detection mechanism of the singular signals, the Hermitian continuous wavelet transform is applied in extraction and analysis of the fault signals. Fault detection and positioning of high speed spindle is completed by the modulus maxima point distribution in transform. Results of simulation verify the effectiveness of the method.