DYNAMIC UNBALANCE DETECTION OF CARDAN SHATF IN HIGH-SPEED TRAIN BASED ON MODIFIED VARIATIONAL MODE DECOMPOSITION
Aiming at the adverse influence of penalty parameter and mode number on the VMD（ variational mode decomposition）,a newly MVMD（ modification variational mode decomposition） was proposed through the information entropy difference. The change of the amount of information in each mode extraction charact...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Strength
2017-01-01
|
| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.03.003 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841535187103514624 |
|---|---|
| author | HONG JianFeng DING JianMing LIN JianHui ZHENG ShuBin |
| author_facet | HONG JianFeng DING JianMing LIN JianHui ZHENG ShuBin |
| author_sort | HONG JianFeng |
| collection | DOAJ |
| description | Aiming at the adverse influence of penalty parameter and mode number on the VMD（ variational mode decomposition）,a newly MVMD（ modification variational mode decomposition） was proposed through the information entropy difference. The change of the amount of information in each mode extraction characteristic of information entropy difference was analyzed. The information entropy difference under the condition of different penalty parameters was got through making full use of the analysis result of extraction characteristic. The excellent penalty parameter was determined in the position of jumpy information entropy difference. The Fourier spectrum of MVMD was used to detect the unbalance of Cardan shaft in high-speed train. The method and model was verified through the unbalance experiment data. The experiment results show that this method could effectively seize the basic frequency,multi-frequency fault features. With comparison to VMD,the problem of Parameter selection has been solved. With comparison to the classic ensemble empirical model decomposition,the fault detection ability has been significantly improved. |
| format | Article |
| id | doaj-art-79437a86b7684ac2953fb88963579d04 |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2017-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-79437a86b7684ac2953fb88963579d042025-01-15T02:34:15ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692017-01-013950551030598421DYNAMIC UNBALANCE DETECTION OF CARDAN SHATF IN HIGH-SPEED TRAIN BASED ON MODIFIED VARIATIONAL MODE DECOMPOSITIONHONG JianFengDING JianMingLIN JianHuiZHENG ShuBinAiming at the adverse influence of penalty parameter and mode number on the VMD（ variational mode decomposition）,a newly MVMD（ modification variational mode decomposition） was proposed through the information entropy difference. The change of the amount of information in each mode extraction characteristic of information entropy difference was analyzed. The information entropy difference under the condition of different penalty parameters was got through making full use of the analysis result of extraction characteristic. The excellent penalty parameter was determined in the position of jumpy information entropy difference. The Fourier spectrum of MVMD was used to detect the unbalance of Cardan shaft in high-speed train. The method and model was verified through the unbalance experiment data. The experiment results show that this method could effectively seize the basic frequency,multi-frequency fault features. With comparison to VMD,the problem of Parameter selection has been solved. With comparison to the classic ensemble empirical model decomposition,the fault detection ability has been significantly improved.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.03.003Cardan shaftDynamic unbalanceMVMDInformation entropy difference |
| spellingShingle | HONG JianFeng DING JianMing LIN JianHui ZHENG ShuBin DYNAMIC UNBALANCE DETECTION OF CARDAN SHATF IN HIGH-SPEED TRAIN BASED ON MODIFIED VARIATIONAL MODE DECOMPOSITION Jixie qiangdu Cardan shaft Dynamic unbalance MVMD Information entropy difference |
| title | DYNAMIC UNBALANCE DETECTION OF CARDAN SHATF IN HIGH-SPEED TRAIN BASED ON MODIFIED VARIATIONAL MODE DECOMPOSITION |
| title_full | DYNAMIC UNBALANCE DETECTION OF CARDAN SHATF IN HIGH-SPEED TRAIN BASED ON MODIFIED VARIATIONAL MODE DECOMPOSITION |
| title_fullStr | DYNAMIC UNBALANCE DETECTION OF CARDAN SHATF IN HIGH-SPEED TRAIN BASED ON MODIFIED VARIATIONAL MODE DECOMPOSITION |
| title_full_unstemmed | DYNAMIC UNBALANCE DETECTION OF CARDAN SHATF IN HIGH-SPEED TRAIN BASED ON MODIFIED VARIATIONAL MODE DECOMPOSITION |
| title_short | DYNAMIC UNBALANCE DETECTION OF CARDAN SHATF IN HIGH-SPEED TRAIN BASED ON MODIFIED VARIATIONAL MODE DECOMPOSITION |
| title_sort | dynamic unbalance detection of cardan shatf in high speed train based on modified variational mode decomposition |
| topic | Cardan shaft Dynamic unbalance MVMD Information entropy difference |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.03.003 |
| work_keys_str_mv | AT hongjianfeng dynamicunbalancedetectionofcardanshatfinhighspeedtrainbasedonmodifiedvariationalmodedecomposition AT dingjianming dynamicunbalancedetectionofcardanshatfinhighspeedtrainbasedonmodifiedvariationalmodedecomposition AT linjianhui dynamicunbalancedetectionofcardanshatfinhighspeedtrainbasedonmodifiedvariationalmodedecomposition AT zhengshubin dynamicunbalancedetectionofcardanshatfinhighspeedtrainbasedonmodifiedvariationalmodedecomposition |