SVM Diagnosis of Gear Fault based on Improved Feature Selection Method
In order to improve fault diagnosis accuracy of gear， an improved feature selection （IFS） method is proposed based on share feature selection（SFS） which is usually used. In the IFS， an independent fault feature set is established for binary fault type based on the characteristics of the two fault ty...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2021-04-01
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| Series: | Jixie chuandong |
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| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.04.015 |
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| _version_ | 1841547296992395264 |
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| author | Jingjing Tan |
| author_facet | Jingjing Tan |
| author_sort | Jingjing Tan |
| collection | DOAJ |
| description | In order to improve fault diagnosis accuracy of gear， an improved feature selection （IFS） method is proposed based on share feature selection（SFS） which is usually used. In the IFS， an independent fault feature set is established for binary fault type based on the characteristics of the two fault types of gears which used to instead unified fault feature set for all fault types of gears. And then， the independent fault feature sets are identified by establishing multiple support vector machines with multi binary classification support vector machine and the diagnosis results are obtained. The example of gear fault diagnosis shows that the improved feature selection method eliminates the interference of useless feature， the diagnosis accuracy is improved and has certain advantages. |
| format | Article |
| id | doaj-art-cb7280e3533545da9c8d64e8f42b329e |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2021-04-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-cb7280e3533545da9c8d64e8f42b329e2025-01-10T14:49:25ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392021-04-014588938813371SVM Diagnosis of Gear Fault based on Improved Feature Selection MethodJingjing TanIn order to improve fault diagnosis accuracy of gear， an improved feature selection （IFS） method is proposed based on share feature selection（SFS） which is usually used. In the IFS， an independent fault feature set is established for binary fault type based on the characteristics of the two fault types of gears which used to instead unified fault feature set for all fault types of gears. And then， the independent fault feature sets are identified by establishing multiple support vector machines with multi binary classification support vector machine and the diagnosis results are obtained. The example of gear fault diagnosis shows that the improved feature selection method eliminates the interference of useless feature， the diagnosis accuracy is improved and has certain advantages.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.04.015Feature selectionImprovedFault diagnosisGear |
| spellingShingle | Jingjing Tan SVM Diagnosis of Gear Fault based on Improved Feature Selection Method Jixie chuandong Feature selection Improved Fault diagnosis Gear |
| title | SVM Diagnosis of Gear Fault based on Improved Feature Selection Method |
| title_full | SVM Diagnosis of Gear Fault based on Improved Feature Selection Method |
| title_fullStr | SVM Diagnosis of Gear Fault based on Improved Feature Selection Method |
| title_full_unstemmed | SVM Diagnosis of Gear Fault based on Improved Feature Selection Method |
| title_short | SVM Diagnosis of Gear Fault based on Improved Feature Selection Method |
| title_sort | svm diagnosis of gear fault based on improved feature selection method |
| topic | Feature selection Improved Fault diagnosis Gear |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.04.015 |
| work_keys_str_mv | AT jingjingtan svmdiagnosisofgearfaultbasedonimprovedfeatureselectionmethod |