Fault Feature Extraction of Gearbox based on Adaptive VMD
In the noisy environment， the composite fault feature extraction is more difficult. The VMD is widely used in gearbox fault diagnosis， but it is a parametric decomposition method. If <italic>K</italic> is too large or too small， it will lead to over-decomposition or under-decomposition....
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| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2019-04-01
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| Series: | Jixie chuandong |
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| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.04.006 |
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| author | Wenyao Li Wengang Yang |
| author_facet | Wenyao Li Wengang Yang |
| author_sort | Wenyao Li |
| collection | DOAJ |
| description | In the noisy environment， the composite fault feature extraction is more difficult. The VMD is widely used in gearbox fault diagnosis， but it is a parametric decomposition method. If <italic>K</italic> is too large or too small， it will lead to over-decomposition or under-decomposition. The number of layers needs to be determined adaptively， a multi-point kurtosis -VMD （Variational Mode Decomposition） composite fault feature extraction method is proposed. Considering the multi-point kurtosis， the number of impact cycles of multiple faults can be extracted， the number of periodic impacts determines the number <italic>K</italic> of decomposition layers of the VMD， and after VMD processing， the fault features are further determined by FFT. The proposed adaptive composite fault feature extraction method and Ensemble Empirical Mode Decomposition （EEMD）comparison analysis verify that it can overcome the characteristics of modal aliasing. The effectiveness of this method is further determined by the measured signal processing. The composite fault characteristics such as gear spalling and bearing balls are finally determined. |
| format | Article |
| id | doaj-art-65384ae087a5420babf83354bdfc85f2 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2019-04-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-65384ae087a5420babf83354bdfc85f22025-01-10T14:01:17ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392019-04-0143273130647302Fault Feature Extraction of Gearbox based on Adaptive VMDWenyao LiWengang YangIn the noisy environment， the composite fault feature extraction is more difficult. The VMD is widely used in gearbox fault diagnosis， but it is a parametric decomposition method. If <italic>K</italic> is too large or too small， it will lead to over-decomposition or under-decomposition. The number of layers needs to be determined adaptively， a multi-point kurtosis -VMD （Variational Mode Decomposition） composite fault feature extraction method is proposed. Considering the multi-point kurtosis， the number of impact cycles of multiple faults can be extracted， the number of periodic impacts determines the number <italic>K</italic> of decomposition layers of the VMD， and after VMD processing， the fault features are further determined by FFT. The proposed adaptive composite fault feature extraction method and Ensemble Empirical Mode Decomposition （EEMD）comparison analysis verify that it can overcome the characteristics of modal aliasing. The effectiveness of this method is further determined by the measured signal processing. The composite fault characteristics such as gear spalling and bearing balls are finally determined.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.04.006Multipoint kurtosisVariational mode decompositionComposite faultFeature extraction |
| spellingShingle | Wenyao Li Wengang Yang Fault Feature Extraction of Gearbox based on Adaptive VMD Jixie chuandong Multipoint kurtosis Variational mode decomposition Composite fault Feature extraction |
| title | Fault Feature Extraction of Gearbox based on Adaptive VMD |
| title_full | Fault Feature Extraction of Gearbox based on Adaptive VMD |
| title_fullStr | Fault Feature Extraction of Gearbox based on Adaptive VMD |
| title_full_unstemmed | Fault Feature Extraction of Gearbox based on Adaptive VMD |
| title_short | Fault Feature Extraction of Gearbox based on Adaptive VMD |
| title_sort | fault feature extraction of gearbox based on adaptive vmd |
| topic | Multipoint kurtosis Variational mode decomposition Composite fault Feature extraction |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.04.006 |
| work_keys_str_mv | AT wenyaoli faultfeatureextractionofgearboxbasedonadaptivevmd AT wengangyang faultfeatureextractionofgearboxbasedonadaptivevmd |