Rolling Bearing with Isometric Feature Mapping and Fuzzy C means Fault Identification Method
In the fault identification of rolling bearing, the traditional ISOMAP algorithm is met with the problem of large deviation of geodesic distance and aliasing in fault identification. So, this paper presents a fuzzy C means and Isometric Feature Mapping of rolling bearing fault identification met...
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| Format: | Article |
| Language: | zho |
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Harbin University of Science and Technology Publications
2019-06-01
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| Series: | Journal of Harbin University of Science and Technology |
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| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1680 |
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| author | WANG Ya-ping LI Shi-song GE Jiang-hua XU Di LI Yun-fei |
| author_facet | WANG Ya-ping LI Shi-song GE Jiang-hua XU Di LI Yun-fei |
| author_sort | WANG Ya-ping |
| collection | DOAJ |
| description | In the fault identification of rolling bearing, the traditional ISOMAP algorithm is met with the problem of large deviation of geodesic distance and aliasing in fault identification. So, this paper presents a fuzzy C means and Isometric Feature Mapping of rolling bearing fault identification method. First of all, the neighborhood size k of ISOMAP algorithm is improved with residuals to ensure that the mapping results reflect the global nature well. Second, the index of category divisibility is used to evaluate the effect of feature dimensionality reduction. Then, a fuzzy Cmeans clustering method is adopted to ensure that the data in high dimensional manifolds and the low dimensional smooth manifold in the topological space are still close or the same. Finally, the experimental verification of vibration data of rolling bearing with different damage degrees shows that the combination of fuzzy C means and improved ISOMAP has obvious improvement in both classification and identification accuracy. |
| format | Article |
| id | doaj-art-32e345ac66c04f3a86d1c8e27cf09b37 |
| institution | DOAJ |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2019-06-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-32e345ac66c04f3a86d1c8e27cf09b372025-08-20T03:06:47ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832019-06-012403414710.15938/j.jhust.2019.03.007Rolling Bearing with Isometric Feature Mapping and Fuzzy C means Fault Identification MethodWANG Ya-ping0LI Shi-song1GE Jiang-hua2XU Di3LI Yun-fei4School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, ChinaSchool of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, ChinaIn the fault identification of rolling bearing, the traditional ISOMAP algorithm is met with the problem of large deviation of geodesic distance and aliasing in fault identification. So, this paper presents a fuzzy C means and Isometric Feature Mapping of rolling bearing fault identification method. First of all, the neighborhood size k of ISOMAP algorithm is improved with residuals to ensure that the mapping results reflect the global nature well. Second, the index of category divisibility is used to evaluate the effect of feature dimensionality reduction. Then, a fuzzy Cmeans clustering method is adopted to ensure that the data in high dimensional manifolds and the low dimensional smooth manifold in the topological space are still close or the same. Finally, the experimental verification of vibration data of rolling bearing with different damage degrees shows that the combination of fuzzy C means and improved ISOMAP has obvious improvement in both classification and identification accuracy.https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1680rolling bearingsfault identificationfeature dimensionality reductionisomap algorithmfuzzy c mean |
| spellingShingle | WANG Ya-ping LI Shi-song GE Jiang-hua XU Di LI Yun-fei Rolling Bearing with Isometric Feature Mapping and Fuzzy C means Fault Identification Method Journal of Harbin University of Science and Technology rolling bearings fault identification feature dimensionality reduction isomap algorithm fuzzy c mean |
| title | Rolling Bearing with Isometric Feature Mapping and Fuzzy C means Fault Identification Method |
| title_full | Rolling Bearing with Isometric Feature Mapping and Fuzzy C means Fault Identification Method |
| title_fullStr | Rolling Bearing with Isometric Feature Mapping and Fuzzy C means Fault Identification Method |
| title_full_unstemmed | Rolling Bearing with Isometric Feature Mapping and Fuzzy C means Fault Identification Method |
| title_short | Rolling Bearing with Isometric Feature Mapping and Fuzzy C means Fault Identification Method |
| title_sort | rolling bearing with isometric feature mapping and fuzzy c means fault identification method |
| topic | rolling bearings fault identification feature dimensionality reduction isomap algorithm fuzzy c mean |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1680 |
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