FAULT DIAGNOSIS BASED ON SEMI-SUPERVISED ORTHOGONAL NEIGHBORHOOD ADAPTIVE LOCALITY PRESERVING PROJECTIONS
Aiming at the problem that accuracy of orthogonal locality preserving projections（OLPP） for fault diagnosis is not high enough,a fault diagnosis method based on semi-supervised neighborhood adaptive orthogonal locality preserving projections（SSNA-OLPP） for dimension reduction is proposed.In this met...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2018-01-01
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| Series: | Jixie qiangdu |
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| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.04.004 |
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| author | YANG Le |
| author_facet | YANG Le |
| author_sort | YANG Le |
| collection | DOAJ |
| description | Aiming at the problem that accuracy of orthogonal locality preserving projections（OLPP） for fault diagnosis is not high enough,a fault diagnosis method based on semi-supervised neighborhood adaptive orthogonal locality preserving projections（SSNA-OLPP） for dimension reduction is proposed.In this method,fault features that can represent the fault state is firstly constructed based on local characteristic-scale decomposition（LCD） and time-frequency domain feature.And then,the SSNA-OLPP is used to compress the high-dimension feature into low-dimension feature which has better discrimination.Finally,the low-dimension feature are input support vector machine（SVM） to identification fault.SSNA-OLPP can adaptive adjust the neighborhood with the guidance of local cluster coefficient,at the same time,information of some labeled samples are also used to adjust the weight matrix among all samples in the original characteristic space,as a result,better fault diagnosis accuracy can achieved.The experiment results of rolling bearing fault diagnosis verified the effectiveness of the method. |
| format | Article |
| id | doaj-art-296ecdf749b54e94825de457a4979ae0 |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2018-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-296ecdf749b54e94825de457a4979ae02025-01-15T02:31:35ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692018-01-014078578930602170FAULT DIAGNOSIS BASED ON SEMI-SUPERVISED ORTHOGONAL NEIGHBORHOOD ADAPTIVE LOCALITY PRESERVING PROJECTIONSYANG LeAiming at the problem that accuracy of orthogonal locality preserving projections（OLPP） for fault diagnosis is not high enough,a fault diagnosis method based on semi-supervised neighborhood adaptive orthogonal locality preserving projections（SSNA-OLPP） for dimension reduction is proposed.In this method,fault features that can represent the fault state is firstly constructed based on local characteristic-scale decomposition（LCD） and time-frequency domain feature.And then,the SSNA-OLPP is used to compress the high-dimension feature into low-dimension feature which has better discrimination.Finally,the low-dimension feature are input support vector machine（SVM） to identification fault.SSNA-OLPP can adaptive adjust the neighborhood with the guidance of local cluster coefficient,at the same time,information of some labeled samples are also used to adjust the weight matrix among all samples in the original characteristic space,as a result,better fault diagnosis accuracy can achieved.The experiment results of rolling bearing fault diagnosis verified the effectiveness of the method.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.04.004Fault diagnosisDimension reductionOrthogonal locality preserving projectionsRolling bearing |
| spellingShingle | YANG Le FAULT DIAGNOSIS BASED ON SEMI-SUPERVISED ORTHOGONAL NEIGHBORHOOD ADAPTIVE LOCALITY PRESERVING PROJECTIONS Jixie qiangdu Fault diagnosis Dimension reduction Orthogonal locality preserving projections Rolling bearing |
| title | FAULT DIAGNOSIS BASED ON SEMI-SUPERVISED ORTHOGONAL NEIGHBORHOOD ADAPTIVE LOCALITY PRESERVING PROJECTIONS |
| title_full | FAULT DIAGNOSIS BASED ON SEMI-SUPERVISED ORTHOGONAL NEIGHBORHOOD ADAPTIVE LOCALITY PRESERVING PROJECTIONS |
| title_fullStr | FAULT DIAGNOSIS BASED ON SEMI-SUPERVISED ORTHOGONAL NEIGHBORHOOD ADAPTIVE LOCALITY PRESERVING PROJECTIONS |
| title_full_unstemmed | FAULT DIAGNOSIS BASED ON SEMI-SUPERVISED ORTHOGONAL NEIGHBORHOOD ADAPTIVE LOCALITY PRESERVING PROJECTIONS |
| title_short | FAULT DIAGNOSIS BASED ON SEMI-SUPERVISED ORTHOGONAL NEIGHBORHOOD ADAPTIVE LOCALITY PRESERVING PROJECTIONS |
| title_sort | fault diagnosis based on semi supervised orthogonal neighborhood adaptive locality preserving projections |
| topic | Fault diagnosis Dimension reduction Orthogonal locality preserving projections Rolling bearing |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.04.004 |
| work_keys_str_mv | AT yangle faultdiagnosisbasedonsemisupervisedorthogonalneighborhoodadaptivelocalitypreservingprojections |