期刊
MEASUREMENT SCIENCE AND TECHNOLOGY
卷 29, 期 12, 页码 -出版社
IOP PUBLISHING LTD
DOI: 10.1088/1361-6501/aae288
关键词
rotating shaft; underdetermined blind source separation; Hankel matrix; singular value decomposition; fault feature extraction
资金
- Natural Science Foundation of China, 'Research on reliability theory and method of total fatigue life for large complex mechanical structures' [U1708255]
In order to improve the fault feature extraction of a rotating shaft, an efficient method of underdetermined blind source signal with weak faults based on Hankel matrix-based singular value decomposition (SVD) and blind source separation (BSS) is proposed. First, a Hankel matrix is constructed for single-channel vibration signal, and then SVD is used to estimate the number of fault signals. Finally, the fault features can be extracted by BSS. Compared with wavelets, variational mode decomposition and ensemble empirical mode decomposition + BSS, the better performance of the proposed method is demonstrated by an analysis of the simulated signal with the misalignment fault and imbalance fault mixed. Furthermore, an experiment verifies the effectiveness of this method. The result demonstrates that the proposed method is efficient for feature extraction of a single-channel vibration signal of a rotating shaft with multiple weak faults.
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