Sparsity-Enabled Denoising Method Based on Tunable Q-factor Wavelet Transform for Bearing Fault Diag

来源 :The 2nd International Conference on Structural Health Monito | 被引量 : 0次 | 上传用户:XM201314
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  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.
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