Fault diagnosis of rolling element beatings is of great importance to maintain the high reliability and long-term safe operation of rotating machinery.However,the weak fault feature is usually submerged in the heavy background noise,thus making it difficult to achieve the feature extraction.Therefore,the sparsity-enabled denoising method based on tunable Q-factor wavelet transform is proposed in this paper.