Fault Feature Extraction of Rolling Bearing based on Multi-scale Morphology and SVD
Aiming at the problems of multi- scale morphological difference filter,a new fault feature extraction method of rolling bearing based on multi- scale morphological difference filter and singular difference spectrum is proposed,which could effectively filter out the noise and extract the fault detail...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2015-01-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.12.026 |
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| _version_ | 1841548717420707840 |
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| author | Liu Peng Li Hongru Li Baochen Xu Baohua |
| author_facet | Liu Peng Li Hongru Li Baochen Xu Baohua |
| author_sort | Liu Peng |
| collection | DOAJ |
| description | Aiming at the problems of multi- scale morphological difference filter,a new fault feature extraction method of rolling bearing based on multi- scale morphological difference filter and singular difference spectrum is proposed,which could effectively filter out the noise and extract the fault details. With the help of the theory of feature energy ratio,two different kinds of multi- scale weighted method is proposed in the multi- scale morphological difference filter,and the results of multi- scale morphological difference filter in different biggest analysis scales are studied. Then,by using the singular difference spectrum,put the result of morphological filter which failed to effectively filter the Gaussian noise into SVD reconstruction,and the final feature extraction result is got. The simulation shows the method could effectively extract the pulse shock signal under the high noise background,and in the fault feature extraction of actual bearing fault signals is also. |
| format | Article |
| id | doaj-art-2bd71cab561c45d4ade8211515512132 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2015-01-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-2bd71cab561c45d4ade82115155121322025-01-10T14:02:58ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392015-01-013912112529920998Fault Feature Extraction of Rolling Bearing based on Multi-scale Morphology and SVDLiu PengLi HongruLi BaochenXu BaohuaAiming at the problems of multi- scale morphological difference filter,a new fault feature extraction method of rolling bearing based on multi- scale morphological difference filter and singular difference spectrum is proposed,which could effectively filter out the noise and extract the fault details. With the help of the theory of feature energy ratio,two different kinds of multi- scale weighted method is proposed in the multi- scale morphological difference filter,and the results of multi- scale morphological difference filter in different biggest analysis scales are studied. Then,by using the singular difference spectrum,put the result of morphological filter which failed to effectively filter the Gaussian noise into SVD reconstruction,and the final feature extraction result is got. The simulation shows the method could effectively extract the pulse shock signal under the high noise background,and in the fault feature extraction of actual bearing fault signals is also.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.12.026Multi-scaleMorphological difference filterFeature energy ratioSingular value decomposition（SVD）Difference spectrum |
| spellingShingle | Liu Peng Li Hongru Li Baochen Xu Baohua Fault Feature Extraction of Rolling Bearing based on Multi-scale Morphology and SVD Jixie chuandong Multi-scale Morphological difference filter Feature energy ratio Singular value decomposition（SVD） Difference spectrum |
| title | Fault Feature Extraction of Rolling Bearing based on Multi-scale Morphology and SVD |
| title_full | Fault Feature Extraction of Rolling Bearing based on Multi-scale Morphology and SVD |
| title_fullStr | Fault Feature Extraction of Rolling Bearing based on Multi-scale Morphology and SVD |
| title_full_unstemmed | Fault Feature Extraction of Rolling Bearing based on Multi-scale Morphology and SVD |
| title_short | Fault Feature Extraction of Rolling Bearing based on Multi-scale Morphology and SVD |
| title_sort | fault feature extraction of rolling bearing based on multi scale morphology and svd |
| topic | Multi-scale Morphological difference filter Feature energy ratio Singular value decomposition（SVD） Difference spectrum |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.12.026 |
| work_keys_str_mv | AT liupeng faultfeatureextractionofrollingbearingbasedonmultiscalemorphologyandsvd AT lihongru faultfeatureextractionofrollingbearingbasedonmultiscalemorphologyandsvd AT libaochen faultfeatureextractionofrollingbearingbasedonmultiscalemorphologyandsvd AT xubaohua faultfeatureextractionofrollingbearingbasedonmultiscalemorphologyandsvd |