In this paper, a novel method based on wavelet and SVDD was proposed, and it was applied to rolling bearings fault diagnosis. The results show that the presented method is efficient to extract the fault feature, reduce the dimension of the signals and improve the veracity of one-class classification in intelligent diagnosis significantly.