Based on primary theory of wavelet transformation,the signal of bearing fault in vehicle-load engine pump machine was processed.The signal characteristic can be effective withdrawn from the actual signal after wavelet decomposition and restructuring.The experimental result proves that,the wavelet analysis can adaptively choose the related frequency band according to the analyzed signal characteristic,enhance the time-frequency resolution of the signal,give the fault information,and realize early highly effective fault diagnosis.