RAILWAY VEHICLES PANTOGRAPH FAULT DIAGNOSIS BASED ON VARIATIONAL MODE DECOMPOSITION DISPERSION ENTROPY AND SVM
In order to improve the fault diagnosis accuracy of railway vehicles pantograph, a fault diagnosis method of pantograph based on variational mode decomposition（VMD） dispersion entropy（DE） and support vector machine（SVM） was proposed in this paper. Firstly, VMD was used as the fault signal decomposit...
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Editorial Office of Journal of Mechanical Strength
2022-01-01
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| Series: | Jixie qiangdu |
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| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.03.034 |
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| author | PAN Ning |
| author_facet | PAN Ning |
| author_sort | PAN Ning |
| collection | DOAJ |
| description | In order to improve the fault diagnosis accuracy of railway vehicles pantograph, a fault diagnosis method of pantograph based on variational mode decomposition（VMD） dispersion entropy（DE） and support vector machine（SVM） was proposed in this paper. Firstly, VMD was used as the fault signal decomposition method to realized pantograph signal in different states adaptively decomposition, and obtained several intrinsic mode functions（IMF）. Secondly, DE was used as feature extration method to calculated each IMF DE value and obtained the fault feature vectors. Finally, SVM was used as pattern recgnition method to identified the fault features and the diagnosis results are obtained. An example of pantograph fault diagnosis shows the effectiveness of the method. |
| format | Article |
| id | doaj-art-0cc512b300694f8197ddde1bf7af667c |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2022-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-0cc512b300694f8197ddde1bf7af667c2025-01-15T02:24:24ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692022-01-014474775229913383RAILWAY VEHICLES PANTOGRAPH FAULT DIAGNOSIS BASED ON VARIATIONAL MODE DECOMPOSITION DISPERSION ENTROPY AND SVMPAN NingIn order to improve the fault diagnosis accuracy of railway vehicles pantograph, a fault diagnosis method of pantograph based on variational mode decomposition（VMD） dispersion entropy（DE） and support vector machine（SVM） was proposed in this paper. Firstly, VMD was used as the fault signal decomposition method to realized pantograph signal in different states adaptively decomposition, and obtained several intrinsic mode functions（IMF）. Secondly, DE was used as feature extration method to calculated each IMF DE value and obtained the fault feature vectors. Finally, SVM was used as pattern recgnition method to identified the fault features and the diagnosis results are obtained. An example of pantograph fault diagnosis shows the effectiveness of the method.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.03.034Variational modal decompositionDispersion entropySupport vector machinePantographFault diagnosis |
| spellingShingle | PAN Ning RAILWAY VEHICLES PANTOGRAPH FAULT DIAGNOSIS BASED ON VARIATIONAL MODE DECOMPOSITION DISPERSION ENTROPY AND SVM Jixie qiangdu Variational modal decomposition Dispersion entropy Support vector machine Pantograph Fault diagnosis |
| title | RAILWAY VEHICLES PANTOGRAPH FAULT DIAGNOSIS BASED ON VARIATIONAL MODE DECOMPOSITION DISPERSION ENTROPY AND SVM |
| title_full | RAILWAY VEHICLES PANTOGRAPH FAULT DIAGNOSIS BASED ON VARIATIONAL MODE DECOMPOSITION DISPERSION ENTROPY AND SVM |
| title_fullStr | RAILWAY VEHICLES PANTOGRAPH FAULT DIAGNOSIS BASED ON VARIATIONAL MODE DECOMPOSITION DISPERSION ENTROPY AND SVM |
| title_full_unstemmed | RAILWAY VEHICLES PANTOGRAPH FAULT DIAGNOSIS BASED ON VARIATIONAL MODE DECOMPOSITION DISPERSION ENTROPY AND SVM |
| title_short | RAILWAY VEHICLES PANTOGRAPH FAULT DIAGNOSIS BASED ON VARIATIONAL MODE DECOMPOSITION DISPERSION ENTROPY AND SVM |
| title_sort | railway vehicles pantograph fault diagnosis based on variational mode decomposition dispersion entropy and svm |
| topic | Variational modal decomposition Dispersion entropy Support vector machine Pantograph Fault diagnosis |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.03.034 |
| work_keys_str_mv | AT panning railwayvehiclespantographfaultdiagnosisbasedonvariationalmodedecompositiondispersionentropyandsvm |