Denoising method of vibration signal of rolling bearing based on multi—criteria fusio
In view of problem that early weak fault features of rolling bearings were difficult to extract, a denoising method of vibration signal of rolling bearing based on multi—criteria fusion was proposed. EEMD method was used to decompose original vibration signal to obtain a set of IMF components, then...
| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Industry and Mine Automation
2018-11-01
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| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671—251x.2018050071 |
| _version_ | 1797869019954413568 |
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| author | GAO Caixia WU Tong FU Ziyi |
| author_facet | GAO Caixia WU Tong FU Ziyi |
| author_sort | GAO Caixia |
| collection | DOAJ |
| description | In view of problem that early weak fault features of rolling bearings were difficult to extract, a denoising method of vibration signal of rolling bearing based on multi—criteria fusion was proposed. EEMD method was used to decompose original vibration signal to obtain a set of IMF components, then correlation coefficient of each IMF component and original vibration signal, J divergence of envelope spectrum of each order and original vibration signal, and kurtosis value of each IMF component are calculated. Effective IMF components are selected according to correlation coefficient criterion, J divergence criterion and kurtosis criterion, and the simultaneously retained IMF components are used as the effective component for signal reconstruction. The experimental results show that the can effectively suppress modal aliasing problem in EMD, and at the same time weaken low frequency noise and highlight high frequency resonance component, and has good adaptability. |
| first_indexed | 2024-04-10T00:04:58Z |
| format | Article |
| id | doaj.art-dcc04158d8064abcbed39d0a0b2617ae |
| institution | Directory Open Access Journal |
| issn | 1671-251X |
| language | zho |
| last_indexed | 2024-04-10T00:04:58Z |
| publishDate | 2018-11-01 |
| publisher | Editorial Department of Industry and Mine Automation |
| record_format | Article |
| series | Gong-kuang zidonghua |
| spelling | doaj.art-dcc04158d8064abcbed39d0a0b2617ae2023-03-17T01:18:56ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2018-11-01441110010410.13272/j.issn.1671—251x.2018050071Denoising method of vibration signal of rolling bearing based on multi—criteria fusioGAO CaixiaWU TongFU ZiyiIn view of problem that early weak fault features of rolling bearings were difficult to extract, a denoising method of vibration signal of rolling bearing based on multi—criteria fusion was proposed. EEMD method was used to decompose original vibration signal to obtain a set of IMF components, then correlation coefficient of each IMF component and original vibration signal, J divergence of envelope spectrum of each order and original vibration signal, and kurtosis value of each IMF component are calculated. Effective IMF components are selected according to correlation coefficient criterion, J divergence criterion and kurtosis criterion, and the simultaneously retained IMF components are used as the effective component for signal reconstruction. The experimental results show that the can effectively suppress modal aliasing problem in EMD, and at the same time weaken low frequency noise and highlight high frequency resonance component, and has good adaptability.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671—251x.2018050071rolling bearingfault feature extractiondenoisingeemdcorrelation coefficientj divergencekurtosis |
| spellingShingle | GAO Caixia WU Tong FU Ziyi Denoising method of vibration signal of rolling bearing based on multi—criteria fusio Gong-kuang zidonghua rolling bearing fault feature extraction denoising eemd correlation coefficient j divergence kurtosis |
| title | Denoising method of vibration signal of rolling bearing based on multi—criteria fusio |
| title_full | Denoising method of vibration signal of rolling bearing based on multi—criteria fusio |
| title_fullStr | Denoising method of vibration signal of rolling bearing based on multi—criteria fusio |
| title_full_unstemmed | Denoising method of vibration signal of rolling bearing based on multi—criteria fusio |
| title_short | Denoising method of vibration signal of rolling bearing based on multi—criteria fusio |
| title_sort | denoising method of vibration signal of rolling bearing based on multi criteria fusio |
| topic | rolling bearing fault feature extraction denoising eemd correlation coefficient j divergence kurtosis |
| url | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671—251x.2018050071 |
| work_keys_str_mv | AT gaocaixia denoisingmethodofvibrationsignalofrollingbearingbasedonmulticriteriafusio AT wutong denoisingmethodofvibrationsignalofrollingbearingbasedonmulticriteriafusio AT fuziyi denoisingmethodofvibrationsignalofrollingbearingbasedonmulticriteriafusio |