Weak Feature Extraction of Rolling Bearing Fault Based on Generalized Variational Mode Decomposition
Aiming at the deficiency of variational mode decomposition (VMD) in on-demand extraction of weak feature components, a generalized VMD (GVMD) is proposed to extract the weak features of rolling bearing faults. GVMD has excellent multi-scale and fixed frequency decomposition performance in the freque...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2023-05-01
|
| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2023.05.023 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841547076471619584 |
|---|---|
| author | Guo Yanfei Chen Gaohua Wang Qinghua |
| author_facet | Guo Yanfei Chen Gaohua Wang Qinghua |
| author_sort | Guo Yanfei |
| collection | DOAJ |
| description | Aiming at the deficiency of variational mode decomposition (VMD) in on-demand extraction of weak feature components, a generalized VMD (GVMD) is proposed to extract the weak features of rolling bearing faults. GVMD has excellent multi-scale and fixed frequency decomposition performance in the frequency domain. The spectrum decomposition positions and frequency domain decomposition scales of the algorithm can be flexibly dominated by prior center frequencies and scale parameters to realize on-demand decomposition. The simulation and experimental results show that, compared with VMD, GVMD can accurately extract weak feature components of bearing faults as desired by taking full advantage of bearing fault frequency information and bandwidth information, and the algorithm is robust to noise. |
| format | Article |
| id | doaj-art-fd913b349bbd4f6095369c0edbce2c98 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2023-05-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-fd913b349bbd4f6095369c0edbce2c982025-01-10T14:57:57ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392023-05-014715015738199291Weak Feature Extraction of Rolling Bearing Fault Based on Generalized Variational Mode DecompositionGuo YanfeiChen GaohuaWang QinghuaAiming at the deficiency of variational mode decomposition (VMD) in on-demand extraction of weak feature components, a generalized VMD (GVMD) is proposed to extract the weak features of rolling bearing faults. GVMD has excellent multi-scale and fixed frequency decomposition performance in the frequency domain. The spectrum decomposition positions and frequency domain decomposition scales of the algorithm can be flexibly dominated by prior center frequencies and scale parameters to realize on-demand decomposition. The simulation and experimental results show that, compared with VMD, GVMD can accurately extract weak feature components of bearing faults as desired by taking full advantage of bearing fault frequency information and bandwidth information, and the algorithm is robust to noise.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2023.05.023Variational mode decompositionRolling bearing faultWeak signal extractionOn-demand decomposition |
| spellingShingle | Guo Yanfei Chen Gaohua Wang Qinghua Weak Feature Extraction of Rolling Bearing Fault Based on Generalized Variational Mode Decomposition Jixie chuandong Variational mode decomposition Rolling bearing fault Weak signal extraction On-demand decomposition |
| title | Weak Feature Extraction of Rolling Bearing Fault Based on Generalized Variational Mode Decomposition |
| title_full | Weak Feature Extraction of Rolling Bearing Fault Based on Generalized Variational Mode Decomposition |
| title_fullStr | Weak Feature Extraction of Rolling Bearing Fault Based on Generalized Variational Mode Decomposition |
| title_full_unstemmed | Weak Feature Extraction of Rolling Bearing Fault Based on Generalized Variational Mode Decomposition |
| title_short | Weak Feature Extraction of Rolling Bearing Fault Based on Generalized Variational Mode Decomposition |
| title_sort | weak feature extraction of rolling bearing fault based on generalized variational mode decomposition |
| topic | Variational mode decomposition Rolling bearing fault Weak signal extraction On-demand decomposition |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2023.05.023 |
| work_keys_str_mv | AT guoyanfei weakfeatureextractionofrollingbearingfaultbasedongeneralizedvariationalmodedecomposition AT chengaohua weakfeatureextractionofrollingbearingfaultbasedongeneralizedvariationalmodedecomposition AT wangqinghua weakfeatureextractionofrollingbearingfaultbasedongeneralizedvariationalmodedecomposition |