Flexible Analytical Wavelet Transform Enhanced Sparse Representation with Nonconvex Penalty and Its Application to Weak Fault Feature Extraction of Rolling Bearings

Keshen Cai, Chunlin Zhang, Wenbo Hou, Yadong Feng, Fangyi Wan

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

To address the problem of early-stage weak fault feature extraction of rolling bearings, non-convex penalty enhanced sparse representation method based on flexible analytical wavelet transform is proposed. The flexible analytical wavelet transform possesses tunable time-frequency frame and atom oscillation, and optimal flexible analytical wavelet transform frame is selected to match the impulsive fault feature to be extracted. Further, sparse representation model based on generalized min-max concave penalty is established, in which the non-convex penalty could induce sparsity of the solutions and the optimization function could remain convex. Thus, the forward-backward splitting method is adopted for solving the optimization problem of sparse representation model.

源语言英语
主期刊名2023 6th International Conference on Information Communication and Signal Processing, ICICSP 2023
出版商Institute of Electrical and Electronics Engineers Inc.
1268-1272
页数5
ISBN(电子版)9798350339994
DOI
出版状态已出版 - 2023
活动6th International Conference on Information Communication and Signal Processing, ICICSP 2023 - Xi'an, 中国
期限: 23 9月 202325 9月 2023

出版系列

姓名2023 6th International Conference on Information Communication and Signal Processing, ICICSP 2023

会议

会议6th International Conference on Information Communication and Signal Processing, ICICSP 2023
国家/地区中国
Xi'an
时期23/09/2325/09/23

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